Artificial intelligence and automation have the potential to disrupt many industries including real estate. However, AI is expected to complement human roles rather than replace them, and drive productivity and value creation. The convergence of AI, the internet of things, and alternative workplace solutions such as activity-based and agile working will transform buildings and the workplace. Offices of the future are expected to be more efficient, collaborative, and healthier. Indian enterprises should embrace AI early on and invest in skills development, while developers should offer flexible workspaces and prepare for increasing automation. Overall, high rents and poor infrastructure pose greater risks to the Indian property market than AI.
From Alexa and Siri to factory robots and financial chatbots, intelligent systems are reshaping industries. But the biggest changes are still to come, giving companies time to create winning AI strategies
5 Important Artificial Intelligence Predictions (For 2019) Everyone Should ReadBernard Marr
Artificial intelligence (AI), machine learning and deep learning have made huge strides in 2018. In this post we look at some of the key AI predictions for 2019, where is will be used, how it will make the biggest impact, as well as the key challenges we have to address.
Artificial Intelligence and Robotics in 2017Mike Quindazzi
Artificial Intelligence refers to the ability of a computer or a computer-enabled robotic system to process information and produce outcomes in a manner similar to the thought process of humans in learning, decision making and solving problems.
The future of artificial intelligence in manufacturing industriesusmsystems
For large industries such as gaming, banking, retail, commerce, and government. AI is widely used and slow in the manufacturing sector, facilitating industrial automation. AI-powered machines show an easy path to the future by providing some benefits — providing new opportunities, increasing production capacity and bringing machine technology closer to human interaction.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
In this report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. Consider this report as a compilation of the most interesting things we’ve seen that seeks to trigger an informed conversation about the state of AI and its implication for the future. This edition builds on the inaugural State of AI Report 2018, which can be found here.
We consider the following key dimensions in our report:
- Research: Technology breakthroughs and their capabilities.
- Talent: Supply, demand and concentration of talent working in the field.
- Industry: Large platforms, financings and areas of application for AI-driven innovation today and tomorrow.
- China: Large platforms, financings and areas of application for AI-driven innovation today and tomorrow.
- Politics: Public opinion of AI, economic implications and the emerging geopolitics of AI.
Collaboratively produced in East London, UK by:
- Nathan Benaich, Founder of Air Street Capital (www.airstreet.com) and RAAIS (www.raais.co).
- Ian Hogarth, Visiting Professor at UCL's IIPP (https://www.twitter.com/IIPP_UCL) and angel investor.
Automate your business operations by incorporating these Artificial Intelligence Overview PowerPoint Presentation Slides. The scope of machine learning is increasing day by day as it is much more convenient and efficient. Facilitate business transformation using this machine learning PowerPoint presentation. With the advent of new and improved technology, it is important to replace human intelligence with robotic process automation. Showcase the stimulation of human intelligence and how applying artificial intelligence can help the organization to grow using this computer science PowerPoint slideshow. You can also present a detailed analysis of AI along with its components, objectives, key statistics, reasons and many other points with the help of this machine intelligence PowerPoint visual. Some of the problems are beyond the control of a human. They do require cognitive intelligence. Utilize this problem-solving PowerPoint graphic in that situation to find apt solutions to your organizational problems. Therefore, download this learning algorithm complete deck now to replace your old technology with machine consciousness, sentience, and mind. https://bit.ly/3xH1aFf
From Alexa and Siri to factory robots and financial chatbots, intelligent systems are reshaping industries. But the biggest changes are still to come, giving companies time to create winning AI strategies
5 Important Artificial Intelligence Predictions (For 2019) Everyone Should ReadBernard Marr
Artificial intelligence (AI), machine learning and deep learning have made huge strides in 2018. In this post we look at some of the key AI predictions for 2019, where is will be used, how it will make the biggest impact, as well as the key challenges we have to address.
Artificial Intelligence and Robotics in 2017Mike Quindazzi
Artificial Intelligence refers to the ability of a computer or a computer-enabled robotic system to process information and produce outcomes in a manner similar to the thought process of humans in learning, decision making and solving problems.
The future of artificial intelligence in manufacturing industriesusmsystems
For large industries such as gaming, banking, retail, commerce, and government. AI is widely used and slow in the manufacturing sector, facilitating industrial automation. AI-powered machines show an easy path to the future by providing some benefits — providing new opportunities, increasing production capacity and bringing machine technology closer to human interaction.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
In this report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. Consider this report as a compilation of the most interesting things we’ve seen that seeks to trigger an informed conversation about the state of AI and its implication for the future. This edition builds on the inaugural State of AI Report 2018, which can be found here.
We consider the following key dimensions in our report:
- Research: Technology breakthroughs and their capabilities.
- Talent: Supply, demand and concentration of talent working in the field.
- Industry: Large platforms, financings and areas of application for AI-driven innovation today and tomorrow.
- China: Large platforms, financings and areas of application for AI-driven innovation today and tomorrow.
- Politics: Public opinion of AI, economic implications and the emerging geopolitics of AI.
Collaboratively produced in East London, UK by:
- Nathan Benaich, Founder of Air Street Capital (www.airstreet.com) and RAAIS (www.raais.co).
- Ian Hogarth, Visiting Professor at UCL's IIPP (https://www.twitter.com/IIPP_UCL) and angel investor.
Automate your business operations by incorporating these Artificial Intelligence Overview PowerPoint Presentation Slides. The scope of machine learning is increasing day by day as it is much more convenient and efficient. Facilitate business transformation using this machine learning PowerPoint presentation. With the advent of new and improved technology, it is important to replace human intelligence with robotic process automation. Showcase the stimulation of human intelligence and how applying artificial intelligence can help the organization to grow using this computer science PowerPoint slideshow. You can also present a detailed analysis of AI along with its components, objectives, key statistics, reasons and many other points with the help of this machine intelligence PowerPoint visual. Some of the problems are beyond the control of a human. They do require cognitive intelligence. Utilize this problem-solving PowerPoint graphic in that situation to find apt solutions to your organizational problems. Therefore, download this learning algorithm complete deck now to replace your old technology with machine consciousness, sentience, and mind. https://bit.ly/3xH1aFf
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...Bernard Marr
Artificial Intelligence (AI) is augmenting our workplaces and transforming the employee experience. In this article, we look at what this means in practice and explore practical examples, benefits, and drawbacks.
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
The Top 10 Artificial Intelligence Trends Everyone Should Be Watching In 2020Bernard Marr
Artificial Intelligence (AI) has undoubtedly been the technology story of the 2010s, and it doesn't look like the excitement is going to wear off as a new decade dawns.
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
Impact of Artificial Intelligence in IT IndustryAnand SFJ
https://sfjbstraining.com/product/artificial-intelligence-course
Artificial Intelligence transforms traditional computer methods but also has an impact on various industries. Software which makes Artificial Intelligence relatively more important in this sector.
IoT in the combination of ML can help you automate your business and optimize the processes. Let's explore the future possibilities of combining ML with IoT.
Marketers' Hopes and Fears for Artificial IntelligenceDavid Berkowitz
What do marketers expect from artificial intelligence? How will AI impact marketers' jobs? Will it play a bigger role in media buying or creative, account management or finance? What do marketers want to get out of it? Why should marketers care about it? And what can marketers learn from the leading thinkers about AI? All of this is covered in research first presented at IAB Conecta in Mexico City in August 2017.
AI & India : The potential to be the next global centre of innovationUmakant Soni
The combination of a large and rapidly growing mobile-internet connected population along with startups being able to access their data along with open-source intelligence research means they can leverage decades of research, apply it to data, and pipe the results to build context-aware, predictive and extremely personalised business models.
This can be built on intelligent process automation and forecasting frameworks for speed and precision. Overall, these businesses will have potential for step-changes in operational efficiency and effectiveness in understanding and fulfilling customer needs.
This is especially so in India, where small screens on many smartphones can create vast pools of data to power AI. By further automating business decisions through machine learning, and surfacing them through smart, intelligent interfaces, these startups will disrupt older technologies and traditional businesses – based on heuristical approaches – and can emerge as “new category leaders”.
The Challenges and Opportunities of AI for the Indian EconomyDaniel Faggella
A presentation I gave to the KV Management Institute in India, based on our research on the Indian AI ecosystem (https://emerj.com/ai-market-research/artificial-intelligence-in-india/).
Artificial Intelligence can Offer People Great Relief from Performing Mundane...JPLoft Solutions
AI refers to the recreation of human-like intelligence in machines created to function like humans and mimic their actions. Artificial Intelligence solutions can be applied to any device that exhibits traits similar to the human brain, such as the capacity to learn and analytical thinking.
The construction industry is faced with a variety of intricate problems, such as time and cost overruns, worries about health & safety, productivity issues, and labour availability. The industry’s expansion is consequently severely constrained.
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...Bernard Marr
Artificial Intelligence (AI) is augmenting our workplaces and transforming the employee experience. In this article, we look at what this means in practice and explore practical examples, benefits, and drawbacks.
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
The Top 10 Artificial Intelligence Trends Everyone Should Be Watching In 2020Bernard Marr
Artificial Intelligence (AI) has undoubtedly been the technology story of the 2010s, and it doesn't look like the excitement is going to wear off as a new decade dawns.
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
Impact of Artificial Intelligence in IT IndustryAnand SFJ
https://sfjbstraining.com/product/artificial-intelligence-course
Artificial Intelligence transforms traditional computer methods but also has an impact on various industries. Software which makes Artificial Intelligence relatively more important in this sector.
IoT in the combination of ML can help you automate your business and optimize the processes. Let's explore the future possibilities of combining ML with IoT.
Marketers' Hopes and Fears for Artificial IntelligenceDavid Berkowitz
What do marketers expect from artificial intelligence? How will AI impact marketers' jobs? Will it play a bigger role in media buying or creative, account management or finance? What do marketers want to get out of it? Why should marketers care about it? And what can marketers learn from the leading thinkers about AI? All of this is covered in research first presented at IAB Conecta in Mexico City in August 2017.
AI & India : The potential to be the next global centre of innovationUmakant Soni
The combination of a large and rapidly growing mobile-internet connected population along with startups being able to access their data along with open-source intelligence research means they can leverage decades of research, apply it to data, and pipe the results to build context-aware, predictive and extremely personalised business models.
This can be built on intelligent process automation and forecasting frameworks for speed and precision. Overall, these businesses will have potential for step-changes in operational efficiency and effectiveness in understanding and fulfilling customer needs.
This is especially so in India, where small screens on many smartphones can create vast pools of data to power AI. By further automating business decisions through machine learning, and surfacing them through smart, intelligent interfaces, these startups will disrupt older technologies and traditional businesses – based on heuristical approaches – and can emerge as “new category leaders”.
The Challenges and Opportunities of AI for the Indian EconomyDaniel Faggella
A presentation I gave to the KV Management Institute in India, based on our research on the Indian AI ecosystem (https://emerj.com/ai-market-research/artificial-intelligence-in-india/).
Artificial Intelligence can Offer People Great Relief from Performing Mundane...JPLoft Solutions
AI refers to the recreation of human-like intelligence in machines created to function like humans and mimic their actions. Artificial Intelligence solutions can be applied to any device that exhibits traits similar to the human brain, such as the capacity to learn and analytical thinking.
The construction industry is faced with a variety of intricate problems, such as time and cost overruns, worries about health & safety, productivity issues, and labour availability. The industry’s expansion is consequently severely constrained.
In this world of growing technology, it is now essential more than ever to upskill oneself. Advancing technologies like Artificial Intelligence, Machine Learning and Data Science are on the rise.
The Future of Work: How AI is Shaping Employment and IndustriesKelvin Martins
"The Future of Work: How AI is Shaping Employment and Industries" is a concise eBook exploring AI's impact on workforce dynamics and industry landscapes. Through real-life examples and practical insights, readers gain an understanding of how AI is transforming job roles, organizational structures, and the overall landscape of work.
3 Ways That Artificial Intelligence (AI) Will Change Your Job ForeverBernard Marr
Artificial Intelligence is becoming more capable by the day, learning new skills, and with it, changing the jobs and tasks humans will perform in the future. Here we look at how artificial intelligence (AI) will change our jobs forever.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtificiMalikPinckney86
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxtoddr4
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the.
AI leadership. AI the basics of the truth and noise publicLucio Ribeiro
There are 6 things I identified in the last 2 Years I have been working in AI.
The Problem is - Hysteria
The lack of context is leading to Noise
The Noise is distracting from the attention and urgency where AI should really be
Executives want a Solution and Directions.
THE GOOD NEWS IS: You don’t need to know the HOW to do, leave this to the tech dudes. You need to know the WHY?
You need to create a culture of enablement. A culture of Data
How can business professionals succeed in a future with AISemir Jahic
This is the slide deck of a talk given at UCL (University College London) in December 2017. The aim of the talk is to give a very simple overview of AI and its potential future impact on business professionals with a non-technical background.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
What is Artificial Intelligence?
Where is the value potential of AI?
Major Acquisitions in AI
AI business cases
AI (& BI) Ecosystem
AI challenges
Networking/expertise
Conclusion
How can business professionals succeed in a future with AISemir Jahic
This is the slide deck of a talk given at UCL (University College London) in December 2017. The aim of the talk is to give a very simple overview of AI and its potential future impact on business professionals with a non-technical background.
Sources
Oxford Future of Employment Study (2013), https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
Andrew Ng, https://www.oreilly.com/ideas/ai-is-the-new-electricity
Simple examples, https://medium.com/simple-ai/linear-regression-intro-to-machine-learning-6-6e320dbdaf06
Gartner Hype Cycle, https://www.gartner.com/newsroom/id/3784363
AI technology image, https://trailhead.salesforce.com/modules/ai_basics/units/ai_basics_getstarted
AI startup investments, https://www.cbinsights.com/research/top-acquirers-ai-startups-ma-timeline/
FT Investment in AI, https://www.ft.com/content/856753d6-8d31-11e7-a352-e46f43c5825d
UK Government Report on AI, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/652097/Growing_the_artificial_intelligence_industry_in_the_UK.pdf
McKinsey AI report, https://www.mckinsey.com/mgi/overview
Economist catalogue of fears, https://www.economist.com/news/special-report/21700758-will-smarter-machines-cause-mass-unemployment-automation-and-anxiety
McKinsey job replacement, https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet
HBR - How to spot an AI opportunity, https://hbr.org/2017/10/how-to-spot-a-machine-learning-opportunity-even-if-you-arent-a-data-scientist
Wired Big Data Meets Big Brother, http://www.wired.co.uk/article/chinese-government-social-credit-score-privacy-invasion
Image Sources
https://upload.wikimedia.org/wikipedia/commons/thumb/f/f6/HAL9000.svg/1200px-HAL9000.svg.png
https://s3media.247sports.com/Uploads/Assets/342/613/5613342.jpg
http://vignette2.wikia.nocookie.net/powerlisting/images/b/bd/Neo_The_One.jpg/revision/latest?cb=20131018055648
https://d15shllkswkct0.cloudfront.net/wp-content/blogs.dir/1/files/2013/12/robot_army.jpg
https://en.oxforddictionaries.com/definition/artificial_intelligence
https://fortunedotcom.files.wordpress.com/2016/03/492682174.jpg
https://galaxyis.com/wp-content/uploads/2017/07/Siri-app.jpg
http://s3files.core77.com/blog/images/549466_81_58982_URtPCkWCG.jpg
https://upload.wikimedia.org/wikipedia/en/2/2a/RegVarneyATM.jpg
http://2.bp.blogspot.com/-KKVISRr3LDc/UTdWQ_fNefI/AAAAAAAAQrE/cgLzhYENj6w/s1600/Harold+Blackman%252C+elevator+operator+Baker+Bldg%252C+1913.JPG
Various images from: https://unsplash.com/
In the landscape of technological evolution, Generative Artificial Intelligence stands at the forefront, reshaping our interactions with technology, creativity, and the world at large. As we teeter on the brink of a new era, the trajectory of Generative AI promises to redefine industries, reshape human experiences, and unlock unprecedented possibilities.
Generative AI's Ascendance:
Empowered by advanced machine learning techniques, Generative AI possesses the remarkable ability to create, innovate, and simulate, once thought to be exclusive to human intellect. Deep learning, anchored in neural networks and algorithms, has paved the way for machines not only to comprehend but also autonomously generate content.
Similar to Colliers Radar Report - Impact of Artificial Intelligence on Indian Real Estate (20)
Colliers radar delhi gurgaon and noida the three aces_june 2018Surabhi Arora, MRICS
The National Capital Region (NCR), is consistently the second largest office market with 20% share of the annual nationwide leasing volume over the past five years. In our opinion, the NCR should retain its dominance in office demand over the next five years. We expect Delhi to see a facelift with redevelopment projects over the coming years. The satellite city Gurugram should remain the preferred city among corporate occupiers against the backdrop of a business-friendly environment, healthy new supply and infrastructure improvements. NOIDA is likely to come out of its image of affordable technology hub and rise as an emerging commercial market. We advise new entrants to choose well- established micromarkets in Delhi and Gurugram while occupiers looking for affordability should start exploring NOIDA for their large requirements and backend operations. In our opinion, investors should keep the momentum upbeat taking cues from the infrastructure initiatives and optimistic business conditions in the region.
The uncertainty regarding the continuity of fiscal incentives is an area of growing concern among various stakeholders in Special Economic Zones (SEZs). Although more than 40.0 million sq ft (3.8 million sq m) of new supply is scheduled for completion before the mandatory deadline of 2020 to qualify for income tax benefits in SEZs, it seems unlikely that all the projects will be completed by then. We advise first-time entrants to pre-commit spaces only in projects that are in advance stages of construction to avoid last-minute delays in starting operations which may lead to disqualification for direct tax benefits. Regardless of optimism among the stakeholders about a further extension of income tax benefits, until this is certain, developers should schedule the completion of construction three to six months in advance
We expect the Indian economy to grow at above 7% over the next three years and recover fully from the adverse repercussions of demonetisation and implementation of Goods and Services Tax (GST). We expect the commercial real estate market to remain on track with sustained demand from occupiers in coming years. Flexibility, collaboration, work-space efficiency, employee retention and cost effectiveness should be the key focus areas of Corporate Real Estate (CRE) heads in 2018. We advise developers to reformulate their workplace designs to cater to the changing dynamics of the workplace environment.
Pallavaram - Thoraipakkam Road (PTR), the 11 km stretch located in the Old Mahabalipuram Road (OMR) Post-Toll market is gearing up to entice numerous multinational companies and small and medium enterprises to Chennai. Being strategically placed and well connected to the key office markets of the OMR and Grand Southern Trunk (GST) Road, this link road is likely to disrupt the linear growth pattern of the OMR. The PTR is now emerging as a strong new growth centre in the OMR district. Over the next three years, we expect 11.5 million sq ft (1.06 million sq m) of office space supply to see completion in Chennai. Of this total, 58% is concentrated along the PTR. We expect that by 2020 the improved infrastructure and new offices with modern amenities should greatly enhance the area’s appeal to prospective tenants. In our opinion, occupiers looking for expansion within Special Economic Zones (SEZs) should take advantage of huge upcoming supply in this corridor. For relocation and consolidation, occupiers can either pre-commit or opt for built-to-suit options in PTR to hedge against future rent rises.
Colliers radar india coworking space - the new kid on the blockSurabhi Arora, MRICS
India offers a great opportunity for coworking space operators to profit from rising demand for flexible, innovative and collaborative workspace designs. We estimate that more than 1.2 million sq ft were leased by coworking operators in India in 2016, which accounted for 3% of the overall leasing volume. Although it represents only a small share of the total leasing demand, coworking operators are planning to lease 8 to 9 million sq ft by 2020.
We foresee that the concentration of coworking spaces will intensify further in Bengaluru, Mumbai, and Gurugram thanks to the availability of adequate infrastructure and opportunities for start-ups in those cities. We recommend occupiers, especially small and medium enterprises, to consider use of flexible space for their office requirements in order to benefit from an integrated networking environment, greater cost-effectiveness and more innovative workspace design.
With most of the new supply scheduled for
completion in 2018, vacancy in Pune market is likely
to remain tight in the short term. We cannot rule out
the possibility of further increase in rent as the
additional supply infusion may not meet the pent-up
demand of the last few quarters. In our opinion, the
market is likely to remain tilted in property owners'
favour for a while. In our view, developers should
expedite completion of projects under construction
and plan more new projects to profit from the
untapped demand in the market.
We expect tenant favourable conditions to attract
domestic companies and Information Technology
majors to expand operations mainly in the New
Town, Rajarhat and Sector V micromarkets. Rents
are likely to register a 3-5% dip in Sector V and
peripheral areas of New Town and Rajarhat as
property owners are likely to remain flexible on rents
to boost occupancy in their buildings.
Amid surging office demand in this re-established IT
hub, most of the upcoming quality office spaces
have been pre-committed by occupiers, creating a
severe supply shortage. Hyderabad's average office
rent is likely to surge in 2017, as en-bloc
completions are still 12-15 months away. We advise
developers to expedite construction and undertake
new projects to meet the heightened occupier
demand to retain the city's image of an affordable
Information Technology and Information Technology
and enabled services (IT-ITeS) location.
We expect demand to strengthen in coming quarters
driven mainly by technology and banking, financial
services and insurance (BFSI) firms. Amid high rents
and low vacancy, occupiers based in preferred
locations such as Cyber City and Golf Course Road
are evaluating whether to renew their existing leases
or to relocate to inexpensive locations such as Golf
Course Extension Road and along the NH8.
Significant new supply over 2017 should keep rents
in check in prime locations, while high-vacancy
markets such as Golf Course Extension Road may
see downward pressure on rents.
Due to limited availability of quality supply in
preferred micromarkets, peripheral areas of the city
are likely to grow in coming quarters. With
significant new supply scheduled for completion
along Pallavaram-Thoraipakkam Road by 2020, we
expect this corridor to become the next hotspot for
Information Technology and Information Technology
enabled Service (IT-ITeS) occupiers due to its
proximity to Old Mahabalipuram Road (OMR)-Pre
Toll area and Grand Southern Trunk (GST) Road. We
recommend big occupiers looking for large floor
plates in Special Economic Zones (SEZs) to consider
Chennai to benefit from the upcoming SEZ supply in
OMR-Post Toll micromarket.
In Q1 2017, occupiers mainly continued expansion in
southern peripherals. Though we expect occupier
demand to remain upbeat in these locations, the
upcoming new supply is unlikely to meet the rising
demand in coming quarters resulting in upward
pressure on rents. Absorption of pre-committed
spaces coupled with expected demand upsurge is
likely to outpace the upcoming supply pipeline of 8.1
mn sq ft (757,160 sq m) by the year end.
The latest report by Colliers Research titled ‘India Office Property Market Overview Q1 2017’ is now out and ready for download. Notwithstanding the demonetisation of high-value currency notes in November 2016, the economy recovered faster than expected and early projections suggest a growth of 7.1% in the fiscal year ending March 2017. All the key economic indicators suggest that India’s consumption based recovery is on track, and the economy is benefiting from an upswing in demand and output. Although five months on from demonetisation occupiers' markets across India's major cities have seen no discernible adverse impact, we expect demand to firm up driven by the strengthening economy. Gross office take-up in India amounted to 9.3 million sq ft (863,998 sq m) in Q1 2017. The Bengaluru (Bangalore) market maintained its top position across nine cities despite low vacancy and recorded an overwhelming share of 37% in total absorption. Mumbai and Delhi NCR followed with shares of 18% and 17% respectively in total absorption. Chennai, Pune, Hyderabad and Kolkata accounted for 11%, 9%, 6% and 2% respectively in the overall leasing volume.
The latest radar report by Colliers Research titled "Coworking space: The New Kid on the Block" is out and ready for download. India offers a great opportunity for coworking space operators to profit from rising demand for flexible, innovative and collaborative workspace designs. We estimate that more than 1.2 million sq ft was leased by major coworking operators in India in 2016, which accounted for 3% of the overall leasing volume. Although it represents only a small share of the total leasing demand, coworking operators are planning to lease 8 to 9 million sq ft by 2020.
Although rents are likely to remain stable across
most micromarkets, we believe availability of Grade
A buildings at affordable rent will remain a concern
for the next several years. Thus instead of focusing
purely on spatial requirements, companies should
consider taking advantage of flexible office spaces
and formulate a forward-looking workplace strategy.
Tenant appetite for higher quality offices has been
reflected in new leases being executed at abovemarket
rates in select Grade A buildings. We expect
a similar trend in 2017. Due to a dearth of quality
office space in other technology-driven markets like
Pune and Bengaluru, we may see supply-led demand
in coming quarters resulting in increased absorption
volumes.
Leasing remained healthy in 2016 despite the flight
of cost-conscious tenants to Delhi's satellite cities.
Demand continued to be driven by the financial
services and manufacturing companies. We expect
0.3 million sq ft (27,870 sq meters) of Grade A office
supply to be delivered in Q1 2017 mainly in the CBD.
We expect a correction in rents especially in grade B
buildings due to tenants' preference for premium
buildings.
Demand-supply gap is likely to remain a concern in
coming quarters. While a few grade A office
buildings are likely to see completion towards the
end of 2017, we expect upward pressure on rents at
least in H1 2017. Tenants looking for quality assets
should find their options limited this year given that
most of the new supply is likely to enjoy high precommitment
rates from existing occupiers.
Steady decline in headline vacancy rates, increase in rents in CBD and SBD, pushed the occupiers to peripheral areas. In our opinion peripheral markets should continue to gain the occupier preference as most of the new supply is concentrated in this micro markets.
The latest report by Colliers Research titled "India Office Property Market Overview - Trends to watch for in 2017" is now out and ready for download. India recorded 41.6 million sq ft (3.9 million sq metres) of gross office leasing transactions in 2016. With a modest increase of 3.5% over 2015, the data indicates a robust occupier market. Bengaluru (Bangalore) remained on a high growth trajectory and maintained its leading status among the key cities by retaining a 31% share followed by Delhi-NCR, which represented 18% of the total occupier demand. Despite the fact that many forecasters have revised down their 2017 estimates for India’s GDP to 6.8-7.0% due to short-term adverse repercussions of demonetization, we believe the outlook for the office sector remains positive in 2017. In our view, the policy changes that the government is implementing should help improve business confidence in India resulting in robust office leasing demand in coming years. We predict an average annual rental growth of 4.6% in 2017. Firm demand should absorb new supply in technology-driven markets, keeping vacancy low.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Colliers Radar Report - Impact of Artificial Intelligence on Indian Real Estate
1.
2. Andrew Haskins
Executive Director | Research | Asia
Surabhi Arora
Senior Assoc. Director | Research | India
Uttara Nilawar
Manager | Research | India
Artificial intelligence (AI) and automation
pose a long-run threat to demand for
space. However, they will also support
high-value human roles and drive
productivity. Together, AI, the Internet of
Things and alternative workplace
solutions will transform the office.
Workplaces of the future will use space
more efficiently, have more collaborative
space, and be healthier. We recommend
that Indian enterprises embrace AI and
invest in improving the skills of their
staff. Meanwhile, developers should
offer diversity and flexibility, and prepare
for increasing automation of buildings.
High rents and poor infrastructure are
greater risks to continued growth in
Indian property markets than AI.
Executive Summary
Colliers International India has recently organised
seminars on the subject of the Impact of Artificial
Intelligence on Real Estate in Chennai, Gurugram, Pune
and Mumbai. Our speakers included numerous industry
experts. Our own presentation drew on recent work by
Colliers' global Workplace Solutions teams and our
Asian Project Management team, as well as earlier work
by our research team in the Philippines.
Artificial intelligence (AI) and automation pose a long-run
threat to demand for space, and have the potential to
disrupt many industries including real estate. However,
AI should also support high-value human roles and
enhance productivity, thus creating value for businesses.
In combination with the Internet of Things (IoT) and the
emerging alternative workplace solutions, AI promises to
transform buildings and building management. The
workplace of the future will use space more efficiently,
have more collaborative space, and be greener and
healthier. However, Indian enterprises can only reap the
benefits of AI if they embrace it early and invest in
increasing the skills of their staff.
The impact of AI will be felt increasingly over the next
decade, with many routine roles likely to be replaced.
Low visibility over future headcount needs will drive
further demand for flexible working space in India. In
addition, AI should boost industrial property as a new
sector in the Indian market. We believe developers will
need to adjust their strategies in response to the new
trends (AI, IoT, activity-based or agile working) before
the market forces them to do so. Overall, high rents and
inadequate infrastructure still represent greater risks to
continued growth in Indian property markets than AI.
Source: Colliers International
3. 3 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
Contents
What is artificial intelligence? ...........4
AI will complement human roles
rather than replace them....................4
Key implications of AI for real estate 6
Emerging trends will reshape the
world of work ......................................7
Alternative workplace solutions: activity-
based and agile working ............................7
Internet of Things transforming buildings
and building management..........................8
Spotlight on the technology sector .............9
Convergence of AI, IoT and alternative
workplace solutions set to cut costs, boost
returns and enhance well-being of staff .....9
AI: what it means for the Indian
property sector .................................10
Near term: use of flexible working space set
to intensify................................................10
Near term: AI technologies likely to appear
in the real estate market...........................10
Medium term: developers should develop
new strategies for an AI-led world............11
Summary of implications for India ............11
Rents and poor infrastructure are
greater threats ..................................12
Rents rising in India's IT-focused cities ....12
Poor infrastructure holds economy back..12
Afterword: AI infrastructure and related
problems ..................................................13
4. 4 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
What is artificial
intelligence?
According to a standard definition, artificial intelligence
(AI) is "the theory and development of computer systems
able to perform tasks normally requiring human
intelligence, such as visual perception, speech
recognition, decision-making, and translation between
languages"1. This definition is useful for two reasons.
Firstly, it emphasises the range of activities which AI can
perform. Secondly, it makes clear that AI encompasses
computer programmes and software applications, and
not simply the walking and talking robots of popular
imagination (although such robots are now being
designed and built).
However, AI can be used in a broader sense. According
to one of the expert speakers at our seminars, AI is best
understood as the platform underlying 10-12 emerging
technologies, including mobile internet, the Internet of
Things (IoT), advanced robotics and autonomous
vehicles. These technologies employ either automated
logic and reasoning, or large-scale processing of data.
All of them have the potential to disrupt established
industries and traditional human working practices.
AI will complement
human roles rather
than replace them
Increasing automation certainly has the potential to
replace human roles. It is natural for speculation about
the scope for such replacement to be rife in India, where
the technology sector accounts for about 60% of gross
office absorption, due in large part to steady growth in
the number of IT/BPM (information technology/business
process management) staff.
We have examined some of the sectors and roles most
vulnerable to replacement by automated processes. The
sectors include manufacturing, retailing, real estate,
technology, commercial banks and insurance. The roles
most vulnerable to replacement are those involving
routine, replicable tasks. We highlight telemarketers,
secretaries, basic accounting functions, real estate
agents and paralegals (see Figures 1 and 2).
1
Source: Oxford Dictionary
Figure 1: Chance of robots replacing human
jobs
Source: The Economist
However, many human functions are less vulnerable to
automation. These include high value-added and
decision-making roles, creative roles, and roles requiring
high customer interaction. Moreover, even in sectors
likely to be heavily affected by AI, the roles of robots and
humans may well be complementary.
For example, in the real estate world, it seems very
probable that drones will take over the task of surveying
land and high-rise buildings. However, human planners
will almost certainly decide the zoning suitability of the
land surveyed by the drones. In the same way, 3D
printers have already been used in experiments to
construct emergency shelters or simple residential
dwellings. However, humans will probably continue to
design the dwellings, or at least adapt the basic designs
to different markets and cultures. Figure 2 provides
some additional examples.
5. 5 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
In fact, we see AI as a productivity enhancement tool
that should enable businesses to grow at a faster rate.
According to a recent and widely quoted study by the
McKinsey Global Institute, “A Future That Works”
(January 2017), only 5% of occupations are candidates
for full automation. However, almost every occupation
has the potential to be up to about 30% automated.
Furthermore, GDP growth over past 50 years reflects
population growth and increasing productivity; however,
with population growth slowing, the focus must now be
on productivity gains. AI is a powerful tool for achieving
this productivity growth. Many of the industry experts at
our seminars agreed with this assessment; see, for
example, the opinion of Hexaware Technologies at right.
We should also refer to our own report “Nots and Bots:
Unboxing the Truth About Robotics’ Impact” by Colliers
International (Philippines), published on 27 October
2016. This report cited studies by and surveys of
Business Process Outsourcing (BPO) operators which
suggested that they expected robots to improve
processing efficiency by 30-35%, but that only a limited
number expected widespread adoption of automated
processes to result in loss of full-time employees. This
conclusion is, of course, open to debate, with warnings
increasing recently about the threat to BPO jobs in the
Philippines from AI. We accept that there is the potential
for disruption, notably among lower-value roles.
Figure 2: AI to complement human roles, not replace them
Source: Colliers International
"I believe that AI will be a game
changer in the Real Estate
Industry by bringing in massive
improvements in productivity by
taking the humdrum activities
out of the daily routine of an
agent. It will do all the basic
groundwork, collect, collate,
tabulate as per preferences,
taking into consideration
culture, location, historical
weather data, trending traffic,
workforce mobility, etc. to arrive
at solutions customised to
individual preferences. It will
change from delivering more
information to delivering the
right information to the
customer."
Sujeet Oommen,
Senior Vice President & Global Head,
Corporate Affairs, Hexaware Technologies
6. 6 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
Through increasing productivity, AI and automation
should help to drive value creation for enterprises, both
by accelerating revenue growth and by reducing costs.
This was a point made most clearly by a speaker from
the management consultancy Accenture at one of our
seminars (see the opinion below). However, it was
echoed by a speaker from a financial consultancy who
emphasised how AI facilitates large-scale processing of
data. Ownership of large volumes of data about
customers in particular is a very important tool for
businesses in driving value creation, but it is not yet
shown on a company's balance sheet as an asset.
Key implications
of AI for real
estate
Colliers International has carried out extensive research
on the future of the workplace, through our global
Workplace Solutions teams and our Asian Project
Management team as well as our Research Department.
Based on our research, it seems reasonable to make the
following general predictions about the implications for
real estate of increasing automation and adoption of AI:
> Urbanisation will accelerate as jobs are replaced in
manufacturing and agriculture
> The Internet of Things will transform buildings and
building management
> Offices and industrial units are likely to become
smaller, or at least more efficient
> Investment capital will migrate toward sources of
human talent, notably university cities
> Technology, media and creative industries will
become key sources of demand for new space
> Boundaries will blur between different categories of
property, and there will be a shift towards mixed-use
buildings
> Demand for dynamically managed logistics
warehouses will strengthen
In the space of this introductory report, we cannot do
justice to all the important themes mentioned above. We
have therefore grouped some of them together, and over
the rest of this report will concentrate on how the
combination of AI, the Internet of Things and alternative
workplace solutions will transform the design and
efficiency of offices. We will also explore how increasing
AI and the need to acquire and retain human talent will
shape location decisions in the technology sector. This is
an especially important theme in India.
"Artificial Intelligence has the
potential to create significant
enterprise value by driving top
line growth, increasing
operational efficiencies and
optimizing costs without
compromising on ‘human’
values and sustainability. AI is
real and now – democratization
of skills, investment by
organizations in managing data
as a strategic asset and easy
availability of high performance
computing power is driving
increased adoption across
sectors.”
Tushar Walwadikar,
Principal, Accenture Management
Consulting
7. 7 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
Emerging trends
will reshape the
world of work
Alternative workplace solutions:
activity-based and agile working
Globally, increasingly dynamic and mobile employees
and the growing importance of the Generation Y/
millennial demographic segment within the workforce
have started changing office space design. Most offices
have already moved from a cubicle structure to an open
floor plan within office buildings that are equipped with
several amenities and recreational areas. A flexible and
dynamic workspace has become key in guarding against
real estate challenges and in attracting talent. With work
no longer being done just at a desk, workspace needs
are changing to accommodate various activities for both
mobile and static staff.
Besides the need to attract and retain new categories of
employee, workplace design needs to address the fact
that 30-40% of space in the typical office is under-
utilised. More efficient office design will help to reduce
real estate costs, which for most businesses represent
the largest item of overheads after staff costs.
Colliers International believes that the way forward lies in
alternative workplace solutions. These are workplace
strategies defined to optimise space usage and people's
performance. They move far beyond simple open-plan
layouts. One approach is activity-based working (ABW),
which has the aim of facilitating the various activities in
which employees engage during the day, and of
maximising the output from those activities. ABW has a
strong emphasis on promotion of collaborative space
where staff can mingle and work together, as well as
leisure space and quiet zones where staff can
concentrate by themselves when necessary.
In our opinion, adoption of the ABW approach can drive
significant cost reductions. In addition, by promoting
collaboration and staff engagement, it drives productivity.
Finally, through providing a workplace which looks and
feels enjoyable and practical, it facilitates attraction and
retention of human talent. Figure 4 summarises the
needs of the workplace which ABW seeks to address.
Figure 4: Factors impacting current office needs
Source: Colliers International Workplace Solutions teams; Colliers
International India
Figure 3: Trends in office planning: redefinition of the workplace
Source: Colliers International Workplace Solutions teams; Colliers International India
8. 8 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
Activity-based working may not be the ideal space
solution for all enterprises. Another approach to
workplace design and, indeed, business practice in
general, is "agile" working. This concept has its roots in
the information technology sector, where many
companies employ an iterative approach to software
delivery that builds a product incrementally instead of
delivering a completed product in one go. Typical of the
agile organisation is a structure involving "squads", i.e.
multidisciplinary teams of no more than eight or nine
people which are intended to be nimble and hence
capable of reacting fast to changing client demands.
In an agile environment, the central focus of workspace
organisation becomes the needs of the team rather than
the needs of the individual. As noted in the Insights
report, “The Future of Workplace and Occupancy” by the
Occupier Services team of Colliers Asia (September
2017), agile working requires less workspace variety and
limits flexible workplace usage. This is because an agile
team spends most of its time during a specific project in
one block of workspaces dedicated to that project. In
most cases, unoccupied positions in these dedicated
blocks are not used by other teams.
This situation raises the challenge that space efficiency
may be lower in agile than in activity-based work
environments, where it is more likely that employees use
all available desks in the office or in their dedicated
areas. However, this disadvantage is mitigated by the
fact that agile working increases workplace occupancy.
This is because agile organisations must be able to bring
people physically together in the workplace in order to
boost collaboration between employees with different
areas of expertise.
Effective workplace strategies will not be prescriptive.
They will be tailored to the needs of different sectors and
companies, and may contain elements of both activity-
based and agile working. What seems clear is that the
workplace has entered a process of evolution which will
leave the office quite different from both the old-
fashioned grid pattern and the somewhat chaotic open-
plan pattern of the 1990s and 2000s.
Internet of Things transforming
buildings and building management
At the same time as office design is moving towards
alternative workplace solutions, the Internet of Things
(IoT) is starting to transform buildings and building
management. IoT refers to the increasing ubiquity of
interconnected sensors and computer chips, which are
constantly transmitting and receiving data.
As also noted in our Insights report, “The Future of
Workplace and Occupancy"2, one of the best examples
of the way in which the Internet of Things is already
transforming the workplace is the Edge building in
Amsterdam, primarily occupied by the consulting and
audit firm Deloitte. This building has not only been
dubbed the “world’s most sustainable office building” but
also the “smartest”.
When employees drive into the building, a camera
recognises their licence plates, lets them in and directs
them to an open parking spot. Employees use a
smartphone application to locate open workstations
based on their schedules and preferences. The app
enables employees to adjust lighting and temperature —
and even order groceries to be picked up at the end of
the day.
By aggregating usage data, the building's management
can execute responsive decisions from refilling a coffee
machine to temporarily closing an unused section of the
building to save costs. Since opening the new space,
Deloitte has noted a marked increase in employment
applications specifically tied to a desire to work in the
Edge building.
Two features of the design of the Edge building are
especially noteworthy. Firstly, the LED panels designed
by the Dutch technology company Philips specifically for
the building, are powered by the same cables that carry
data for the Internet. They are also packed with sensors
that constantly monitor motion, light, temperature and
humidity. In total, the Edge contains about 28,000
sensors. In effect, the Edge building has become
intelligent – an example of the power of automation and
AI in practice.
Secondly, about 2,500 Deloitte workers share only about
1,000 desks in the building. This is the concept of "hot
desking" taken to its logical extreme: nobody in the
building has a permanently assigned working station,
and the app which finds staff a sitting desk, standing
desk, work booth or place in a "concentration room" on
their arrival for the day is another example of the power
of AI in action.
2
“The Smartest Building in the World” report by Bloomberg, 23
September 2015 and “The Edge of Tomorrow” Deloitte, 2015.
9. 9 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
Spotlight on the technology sector
One of the sectors set to be heavily impacted by artificial
intelligence is the technology sector. Colliers Asia carried
out detailed interviews over the summer of 2017 with
multinational, Chinese and Indian technology sector
occupiers; a report commenting on our findings is in
preparation. Here we only really need emphasise the
fact that that the companies we interviewed regarded
acquisition of talent as their single greatest challenge.
To our surprise, the technology companies in our survey
considered Beijing/North China to be the single greatest
source of talent within Asia. Three places came in joint
second place: Shanghai/East China, India (general) and
India (Bangalore). There is room for dispute about
whether Beijing really is so important. However, with
several highly reputed universities and a well-known
technology hub in the Zhongguancun area, there is no
doubt that Beijing it is a centre of technical and academic
excellence in a very large market where mobile internet
and e-commerce are growing rapidly. Similar comments
could be made about Bangalore (Bengaluru).
Looking forward, we believe that Investment capital will
migrate toward sources of human talent, including both
traditional university cities like Cambridge in the UK but
also financial centres with a good technological
reputation like Singapore. In a world where artificial
intelligence is increasingly important, such centres will
be the key sources of human talent required to design,
programme and operate robots and automated systems.
Another finding from our interviews was that over 80% of
the technology occupiers have a strategy to promote the
health and well-being of their staff. This finding is
important because it indicates that the technology
companies are not interested in simply slashing costs –
an objective which automation could help them to
achieve. Rather, they are prepared to invest in systems
and processes which benefit the health of the staff,
because they perceive that doing so will help drive
growth and value creation in the future.
The methods by which the technology occupiers
promote the well-being of their staff vary. Two
multinational companies that we interviewed focus on
ergonomics within the office and healthy food options. A
Chinese company focuses on gym rooms, dancing
classes and provision of three meals per day for staff at
its large campus facility in South China. The three Indian
companies in our survey told us that they focus on
annual health check-ups and counselling, medical
camps and sponsored events.
Convergence of AI, IoT and
alternative workplace solutions set
to cut costs, boost returns and
enhance well-being of staff
The convergence of alternative workplace solutions, the
Internet of Things and artificial intelligence has the
potential to change the shape of the workplace
profoundly. On the one hand, it will almost certainly
permit greater efficiency in use of space. Based on
research in Singapore, Colliers' Asia Workplace
Solutions team recently estimated that the use of agile
collaborative design by technology companies would
permit usable square feet per employee to drop from 161
to 146 (i.e. from 15.0 to 13.6 sq metres) within three
years.
In India, as an average across business sectors, usable
area per employee has already fallen to 90-95 sq ft (8.4-
8.8 sq metres) in many cities, and as low as 65-70 sq ft
6.0-6.5 sq metres) for offices in certain sectors, e.g.
insurance. Adoption of alternative workplace designs,
supplemented by dynamic reconfiguring of use of space
during the day through AI solutions, will probably allow
these numbers to fall even further. Greater efficiency in
workplace use will reduce costs and increase return on
assets for enterprises in many different sectors.
However, it is encouraging that this cost optimisation
process does not require slashing staff. On the contrary,
the workplace of the future will be able to hold more staff
within a smaller space, and will be designed to ensure
the health and well-being of those staff. Engaged,
motivated and healthy employees are more productive.
We can summarise the implications of increasing
automation and the shift to alternative workplace
solutions for offices as follows:
> Activity-based workplaces use space more
efficiently. This suggests average office size will
shrink, or at least average area per person will shrink
> Much more space will be devoted to shared and
collaborative uses
> Wellness” strategies and the IoT will make the office
far greener and healthier
> Staff will be better trained, have specialist skills, and
be largely more mobile both within and outside work
10. 10 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
AI: what it means
for the Indian
property sector
Near term: use of flexible working
space set to intensify
Flexible working (a very similar concept to "coworking")
is gaining popularity in India. Primary tenants of flexible
working space are businesses which either have limited
visibility over future expansion plans or believe that a
collaborative environment is conducive to the success of
their operation. The trend towards flexible working
started in India about three years ago, and today there
are more than 160 large and small flexible/shared space
operators with over 1,000 operational centres across
various Tier I and Tier II cities.
According to a recent study by Colliers India Research,
flexible/shared working space is likely to account for at
least 8-9 million sq ft (0.74-0.84 million sq metres) of
leased office space across India by 2020. If so, then
flexible working space will have emerged as a real estate
category in its own right.
At first sight, artificial intelligence and automation have
very little to do with flexible working. However, we have
pointed out that one of the consequences of increasing
automation is likely to be reduced visibility over future
headcount needs. This is perhaps especially true in a
sector like information technology which is subject to
rapid market evolution.
This is precisely the kind of environment in which flexible
working should demonstrate its true efficacy. We believe,
therefore, that increasing automation will provide
additional impetus to growth in demand for flexible
working space from large occupiers. Existing flexible
working operators and landlords should be ready to
devise solutions to meet this demand.
Near term: AI technologies likely to
appear in the real estate market
We list below several AI-based technologies that we
expect to appear in the Indian real estate market over
the next few years; we have referred to some of them
earlier in this report. These technologies may be
disruptive to existing working practices for property
developers, occupiers and consultants, but not
necessarily so. Early adoption and investment in training
to ensure that staff use the technologies effectively are
the best defences against disruption.
> Building management Systems (BMS) to control and
monitor all mechanical and electrical systems and
processes in commercial, residential, industrial and
airport buildings
> New data requirements for any property through
Location Analytics enabling minimisation of time
required for decision making
> Virtual Reality (VR) for design and display of
buildings so that prospective buyers or tenants can
inspect future purchase or rental locations remotely
> Drones for surveying land and high-rise buildings
and accurate examination of properties in remote
locations
> 3D printers for construction of emergency shelters or
simple residential dwellings, and prefabrication of
building units
Figure 5: AI technologies most likely to be
adopted in the near future
Source: Colliers International India Research
11. 11 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
Medium term: developers should
develop new strategies for an AI-
led world
Developers need to prepare for occupiers' needs to
evolve rapidly as the AI revolution gathers pace. We
expect the needs of large occupiers to revolve around
intelligent buildings and office spaces equipped with
advanced technology. In addition, we believe that
occupiers will increasingly demand activity-based office
designs that appeal to a more mobile workforce
consisting largely of Generation Y/millennial and
emerging Generation Z/post-millennial employees.
In our opinion, developers should be proactive and start
to adopt such designs now. Naturally doing so requires
additional investment. However, it is better for
developers to lead the way than to be forced to adopt
new strategies in response to changing circumstances
and competition in the future. Moreover, buildings with
modern designs are more likely to command premium
rents in the cost-conscious Indian property market.
Furthermore, we recommend that developers should
build a varied portfolio of buildings catering to occupiers
not only in primary business districts but also in
secondary or peripheral areas with lower rents. This is
because the preferred locations of companies in the
technology sector - so important in India - vary widely.
According to the interviews with Asian technology sector
occupiers that we mentioned earlier, at present, the most
common location for office facilities for technology
companies appears to be the CBD fringe, although some
of the companies are not primarily software or services
groups but manufacturing enterprises with production
facilities in business parks or campus facilities outside
cities. Opinion was widely split about the best location for
office location over the next five to ten years. The CBD
fringe remained in the lead, but numerous preferences
were also expressed for the CBD, business parks and
campus facilities.
We should add that Indian developers and investors
need to pay greater attention to industrial property as a
category. At present this segment represents only a
minor part of the organised Indian property market.
However, we have mentioned that AI should allow both
offices and industrial units to become more efficient,
while in combination increasing automation and growth
in e-commerce should mean higher demand for
dynamically managed logistics warehouses. We think,
therefore, that the industrial property market has the
potential to expand significantly in India from now on
especially after the implementation of the Goods &
Services Tax (GST).
Summary of implications for India
We can summarise the implications of the spread of
artificial intelligence for the Indian property world as
follows:
> The impact of AI will be felt increasingly over the
next decade. Routine roles such as simple call
centre operators will be replaced first by AI
> Low visibility over future headcount needs will drive
demand for flexible working space
> AI will boost industrial property as a new category in
the Indian property market
> Companies will need to invest substantially in
increasing the skills of their workforce
> A fresh business approach and proactive planning
will play a key role in success for property
developers in particular
12. 12 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
Rents and poor
infrastructure are
greater threats
Artificial intelligence and automation have the potential to
disrupt the real estate market significantly, both on a
global scale and in India. However, we should conclude
this introductory report into the impact of AI by pointing
out that, at least in the short term, rising rents and poor
infrastructure probably pose greater threats to the Indian
property market.
Rents rising in India's IT-focused
cities
Office rents in India's National Capital Region around
Delhi and in Mumbai, traditionally the centres of
economic and political power in the country, are more or
less stable. However, as the charts below indicate, rents
have been rising in the IT-focused cities of Bengaluru
(Bangalore), Pune, Hyderabad. We expect this trend to
persist over at least the next three years.
Landlords will need to be careful that they do not force
out tenants in the IT-focused cities by raising rents
excessively. We believe that Grade A developments and
buildings with high accessibility will continue to
command premium rents. We suggest that developers
should continue to focus on such buildings, and
preferably incorporate new features from the realms of
AI and alternative workplace solutions that we have
highlighted in this report.
Poor infrastructure holds economy
back
Inadequate infrastructure is a familiar problem in India.
While India's aggregate annual infrastructure investment
amounts to 35% of GDP, the government estimates that
it requires USD1.5 trillion in infrastructure investment
over the next decade. Even this huge amount will
probably only help bridge the infrastructure deficit rather
than create room for future growth. 3
In particular, it is worth highlighting that workers in India
typically face a daily commuting time to the office of one
to two hours each way in most large cities. In the long
term, AI will allow driverless cars and excellent real-time
communication with the office, so that time need not be
3
Standard & Poor's report "The Missing Piece in India's Economic
Growth Story: Robust Infrastructure" August 02, 2016.
Figure 6: Rental trends in leading Indian cities (INR per square foot per month)
Source: Colliers International India
13. 13 Impact of Artificial Intelligence on Indian Real Estate: Transformation Ahead | 5 October 2017 |
Property Research | India | Colliers International
wasted. However, at least for the next few years, that
long commuting time represents a major loss of
productive time for the Indian economy.
We can point to the implications of lengthy commuting
times at a very local level. For example, Colliers India
Research has identified seven bottlenecks or "pain
points" along the Outer Ring Road (ORR) which is one of
the preferred locations for IT companies in Bengaluru
(Bangalore). We estimate the aggregate economic loss
per annum from hold-ups or accidents at these
bottlenecks at INR31.2 crore (INR312 million, or about
USD5 million). This is not a huge amount, but enough to
be significant when combined with the loses on other
such stretches across the country and additional
economic losses from relatively slow internet
connectivity and high electricity costs due to frequent
power cuts.
Afterword: AI infrastructure and
related problems
With regard to AI specifically, we should add that billions
of dollars globally have been invested in the sector by
venture capitalists (VCs) over the past few years. The
US and China have led the way with very high funding in
terms of total deals and dollars. In sharp contrast, Indian
AI start-ups have collectively raised less than USD100
million over the period 2014-2017, according to data
from the start-up analytics firm Tracxn4. This lack of
investment may prove to be a major obstacle to the
development of AI in India.
On the subject of infrastructure, we should also note that
legacy IT systems may turn out to be a major drag on
automation and adoption of artificial intelligence, both in
India and elsewhere. Many older IT systems are not very
intelligent, and getting them to work with systems which
are intelligent is a process that could easily take several
years.
4
https://factordaily.com/artificial-intelligence-india/.
Figure 7: Case Study - Economic loss due to infrastructure problems on ORR Bengaluru
Source: Colliers International India