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.
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
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.
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/
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.
Emerging Technologies: Changing how we live, work and play EY-Mint Emerging ...eraser Juan José Calderón
Emerging Technologies: Changing how we live, work and play
EY-Mint Emerging Technologies Report 2019.
Una gran cantidad de tecnologías emergentes está dando forma a nuestras vidas, posiblemente a un ritmo de cambio nunca antes visto en la historia. Habilitado por el poder de cómputo barato y el acceso a grandes conjuntos de datos, las máquinas ya están haciendo un mejor trabajo que los humanos en varias áreas. Esta "inteligencia" se está alejando de las granjas de servidores centrales hacia dispositivos y cosas que pronto se convertirán en parte de nuestra vida cotidiana. Estos dispositivos potencialmente negociarán su propio camino en nuestro mundo a través de "contratos inteligentes" y sin una intervención humana significativa. La información perceptiva superpuesta sobre estos objetos del mundo real nos ayudará a salir de los dispositivos móviles que han captado nuestra atención en este mundo posterior a Internet. Lo que parece único en este momento actual es la rápida adopción de muchas de estas tecnologías habilitadoras y su potencial para trabajar juntos para cambiar nuestras vidas.
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
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.
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/
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.
Emerging Technologies: Changing how we live, work and play EY-Mint Emerging ...eraser Juan José Calderón
Emerging Technologies: Changing how we live, work and play
EY-Mint Emerging Technologies Report 2019.
Una gran cantidad de tecnologías emergentes está dando forma a nuestras vidas, posiblemente a un ritmo de cambio nunca antes visto en la historia. Habilitado por el poder de cómputo barato y el acceso a grandes conjuntos de datos, las máquinas ya están haciendo un mejor trabajo que los humanos en varias áreas. Esta "inteligencia" se está alejando de las granjas de servidores centrales hacia dispositivos y cosas que pronto se convertirán en parte de nuestra vida cotidiana. Estos dispositivos potencialmente negociarán su propio camino en nuestro mundo a través de "contratos inteligentes" y sin una intervención humana significativa. La información perceptiva superpuesta sobre estos objetos del mundo real nos ayudará a salir de los dispositivos móviles que han captado nuestra atención en este mundo posterior a Internet. Lo que parece único en este momento actual es la rápida adopción de muchas de estas tecnologías habilitadoras y su potencial para trabajar juntos para cambiar nuestras vidas.
Rapidly evolving technology is creating many opportunities for strategic technologies to rise in the market. As the demand for specific skills increases, let's look at the current trends for an IT professional to follow.
Escaping the automation led redundancy shaping the Indian IT industry finalRakesh Shukla
Recent data is for half a million employees being made redundant over the next 5 yrs. due to automation. Is it true? And what is that the industry, companies and employees can do about it.
Artificial Intelligence is the new computer of technology. In simple words, AI gives life to the machines—by giving them intelligence. This enables the machine to imitate humans in terms of perception, decision making, speech recognition, and language interpretation. And the way we can construct Ai is through Machine learning.
Top 10 Emerging Technology in 2022.docxAdvance Tech
It's hard to believe that we're already nearing the end of 2020 - and with a new year comes new opportunities for businesses to adopt emerging technologies. But with so many options on the market, it can be tough to know which ones are worth investing in. In this article, we'll count down the top 10 emerging technologies that are expected to make a big impact in 2022!
here is always new and emerging technology. Some of it is mind-blowing and has the potential to change the world. Here are the top 10 emerging technologies in 2022
It's hard to predict the future, but that doesn't mean we don't try. In this article, we'll take a look at 10 different technologies that are emerging and could potentially have a big impact in the next few years. From Blockchain to quantum computing, these are the technologies you should keep an eye on!
https://advancetech.info/emerging-technologies/
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.
Top 4 Digital Transformation Trends In 2018DivyaConsagous
Digital transformations leverage the power of developing technologies to boost the customer or user experience and meet the operational goals. Here is the scoop of top 4 digital transformation trends in 2018 that are radars right now.
Unlock the future of AI/ML services with our insights into the 9 key trends shaping 2024. From advanced neural networks to ethical AI practices, stay ahead with cutting-edge innovations. Discover how Mooglelabs is revolutionizing AI/ML services to drive efficiency, enhance customer experiences, and propel businesses into the future.
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The year 2019 was great in terms of analytics adoption as the domestic analytics industry witnessed a significant growth this year. Here we bring top 10 data science and AI trends in India to watch out for in 2020
THE FUTURE OF WORK AUTOMATION AND THE CHANGING JOB LANDSCAPE.pptxKarpagam Institute
Discover how automation is reshaping the job market and what it means for the future of work. Explore the impact of technological advancements on employment and gain insights into the changing landscape of job opportunities. Stay ahead of the curve and prepare for the evolving demands of the workforce.
This emerging tech research from CompTIA describes the growing role of artificial intelligence in the technology strategies that businesses are building.”
Colliers Radar Report - Impact of Artificial Intelligence on Indian Real EstateSurabhi Arora, MRICS
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
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.
2018 was a big year for innovation in emerging technologies and the trend will continue in 2019 with lots of exciting opportunities looking forward for us to grow tremendously. Let us look into technologies that will shake the market up.
In the age of artificial intelligence (AI), business success will increasingly depend on people and machines collaborating with each other. Read more: https://www.accenture.com/us-en/company-reworking-the-revolution-future-workforce
7 reasons why you should work in the technology industryEdology
The digital technology industry is always on the lookout for qualified candidates. Technology is one of the most intriguing and diverse industries to consider for job prospects. Well, here are seven reasons why a Data Science career might be the right fit for you.
A security threat is a malicious act that aims to corrupt or steal data, Artificial Intelligence can prevent the disruption of an organization's systems or the entire organization.
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Discover how automation is reshaping the job market and what it means for the future of work. Explore the impact of technological advancements on employment and gain insights into the changing landscape of job opportunities. Stay ahead of the curve and prepare for the evolving demands of the workforce.
This emerging tech research from CompTIA describes the growing role of artificial intelligence in the technology strategies that businesses are building.”
Colliers Radar Report - Impact of Artificial Intelligence on Indian Real EstateSurabhi Arora, MRICS
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
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2018 was a big year for innovation in emerging technologies and the trend will continue in 2019 with lots of exciting opportunities looking forward for us to grow tremendously. Let us look into technologies that will shake the market up.
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SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
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M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
2. It's an exhilarating experience to get into the technology industry. Not only are advanced technologies
like Artificial Intelligence and Machine Learning, and Data Science undergoing transformations, but so are
new transactional foundations like blockchain and the way software is developed and deployed.
Many current competencies may become obsolete in the near future. While traditional IT jobs are being
lost, new age technologies are creating new ones for which Masters in Artificial Intelligence would be the
best option to go for. future jobs will necessitate completely different skill sets, primarily driven by AI and
Machine Learning (AIML), Industry 4.0, Digital Transformation, Augmented Reality-Virtual Reality (AR-
VR), Blockchain, the Internet of Things (IoT), and other such intertwined technologies.
3. Sundar Pichai, the CEO of Google, recently stated, "AI is perhaps the most significant project
humanity has ever undertaken. It's something deeper than electricity or fire, in my opinion." AI
applications are swiftly becoming mainstream, and as the market matures, demand for AI-skilled
technologists is increasing.
Despite the abundance of stock photographs depicting robots that resemble humans working at
computers, AI occupations won't appear all that different from current jobs and will be
commonplace. Soon, almost every industry, including the public and private sectors, will be using
AI, creating a wide range of job opportunities for people who are interested in this field. AI jobs
will be accessible in cities all over the world in the financial, healthcare, manufacturing, and
other sectors.
4. What are these jobs, exactly? The most sought-after AI positions at the moment, according to a
TechRepublic report, are:
1. Data scientist
2. Software engineer
3. Machine learning engineer
4. Software architect
5. Data analyst
The AI wave is coming. If you’re concerned that your current IT skillset will soon be irrelevant—
and your job too—it’s time to consider your options. As you can see by the job list above, those
already working in IT have a definite advantage when it comes to emerging technologies and
new job creation, because they have a solid foundation to build upon.
5. Since 2013, the number of jobs requiring AI capabilities has quadrupled, indicating increased
acceptance of AI applications that fuel industry growth. And the potential influence in this
developing field is enormous. According to Accenture research, Artificial Intelligence (AI) has the
potential to double annual economic growth rates by 2035 by changing the nature of work and
establishing new relationships between man and machine. A Masters in Artificial Intelligence will
boost labour productivity by up to 40% and allow people to make better use of their time.
6. Software Development Technology, languages, and processes are changing far too quickly to be
ignored. Giving your development teams the opportunity to master these key skills demonstrates
your commitment to keeping them on the leading edge and preparing them for future job.
A key question is where can we expect job growth, and how can the IT industry reskill its
employees. AI has three main components:
1. Understanding of business
2. Technology
3. Al and ML algorithms
7. Instead of focusing on Moon Shot projects, business awareness allows organisations to ask the
correct questions and select significant projects. It is easier for IT companies to get projects if
they show subject competence. There are close to 109000 Artificial Intelligence personnel
working in India across enterprises and sectors – this represents a 20% jump in personnel from
last year, and the median salary of the AI personnel is INR 14.3 Lakhs. Knowledge of Artificial
Intelligence and Machine Learning combined with sectoral knowledge is what generates revenue,
therefore training the workforce in AI as well as applications across sectors will boost the IT
industry.
8. THANK YOU
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