Solving the dilemma should you build or buy aiSkyl.ai
About the webinar
Long gone are the days of questioning if your organization requires Artificial Intelligence to drive competitive advantage. 84% of businesses say AI will enable them to obtain or sustain the competitive advantage [Forbes].
AI offers highly data-driven insights, automates mundane processes, enhances customer experience, and hence increases overall efficiency. 36% of executives say their primary goal for AI is to free up workers to be more creative by automating tasks [HBR].
Businesses know what AI solutions they need but the real challenge lies in getting them implemented. AI initiatives require proper evaluation of the organizations’ ability to build in-house AI technology or buy commercially available AI applications.
Through this webinar, you will know the factors to consider while making the decision of AI implementation, and you get the answer to your biggest question - whether to build or buy AI application.
What you will learn
What factors to evaluate before making a decision to build or buy an AI solution
What will you require to build an AI model specific to your organizational need
How does building an AI solution fit into the long-term business model and help in gaining competitive advantage
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.
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.
Game changing AI Startups need great AI system. Learn the basic concepts and importance of AI to change the way you build a Startup. Its time to identify and develop skill sets to make better decisions.
Accelerate #AI workloads with Tesla V100 on #E2ECloud : http://bit.ly/E2EGPU
Solving the dilemma should you build or buy aiSkyl.ai
About the webinar
Long gone are the days of questioning if your organization requires Artificial Intelligence to drive competitive advantage. 84% of businesses say AI will enable them to obtain or sustain the competitive advantage [Forbes].
AI offers highly data-driven insights, automates mundane processes, enhances customer experience, and hence increases overall efficiency. 36% of executives say their primary goal for AI is to free up workers to be more creative by automating tasks [HBR].
Businesses know what AI solutions they need but the real challenge lies in getting them implemented. AI initiatives require proper evaluation of the organizations’ ability to build in-house AI technology or buy commercially available AI applications.
Through this webinar, you will know the factors to consider while making the decision of AI implementation, and you get the answer to your biggest question - whether to build or buy AI application.
What you will learn
What factors to evaluate before making a decision to build or buy an AI solution
What will you require to build an AI model specific to your organizational need
How does building an AI solution fit into the long-term business model and help in gaining competitive advantage
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.
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.
Game changing AI Startups need great AI system. Learn the basic concepts and importance of AI to change the way you build a Startup. Its time to identify and develop skill sets to make better decisions.
Accelerate #AI workloads with Tesla V100 on #E2ECloud : http://bit.ly/E2EGPU
Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.
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
201904 How will AI and machine learning transform local search and SMBs? Simon Greenman
From the SIINDA localcomm 2019 conference. We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. And countries are vying for AI supremacy. The question is where does local fit into this new frontier. This session will provide a non-technical introduction to AI and show how value is being created across industries and functions. It will take a deep dive into local and show how AI can be used to drive sales, marketing and customer service; drive efficiencies; deeper insights and competitive differentiation. Weaving in practical case studies it will also look at how the tech giants are becoming AI first companies.
What Is Strong (General) AI? Here Are 9 Practical Examples Bernard Marr
There are two different types of artificial intelligence—weak or narrow AI and strong or general AI. General AI has not been achieved yet, but it describes when machines are able to exhibit full human cognitive skills without any human intervention. Here are 9 practical examples of general artificial intelligence.
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.
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.
Conversational AI versus AI Data ScienceRazorthink
Uncover the difference between a conversational AI and AI data science in this informative presentation, as well as how AI is being used on the Enterprise level.
Artificial Intelligence: Evolution and its Impact on MarketingZenith
In one real-life minute, Google receives over 4 million searches, 2.5 million pieces of content are shared on Facebook, and Pandora users listen to 61 thousand hours of music. The amount of data that is produced in a day is massive that the world has began to turn to artificial intelligence to make use of this data. Read here to learn about the way that artificial intelligence is revolutionizing the use of big data and how this will impact the world of marketing and 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.
Will artificial intelligence replace programmersMaciej Dziergwa
Artificial intelligence can compose songs, paint pictures, help in cancer therapy, drive cars and play games. It’s also starting to write code.
Does it mean that the days of human programmers are already numbered? Will software engineering be automated?
What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...Bernard Marr
Did you know there are two forms of artificial intelligence? Weak or narrow artificial intelligence (AI) is what we encounter daily today. Strong or general AI is the next phase where machines can think like humans without being programmed by humans. Learn the differences between weak and strong AI.
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...Adelyn Zhou
This is a preview of the full book on Applied Artificial Intelligence. For details and more content, visit www.topbots.com/appliedai.
“Artificial intelligence” is the buzz word of the day. You’ve no doubt read your fair share of media hype either proclaiming doom and gloom where robots seize our jobs or prophesying a new utopia where AI cures all our human problems.
The reality is somewhere in between. Unless you work in the field, you may be wondering how AI is used, or even what “AI” really is. Using concrete examples and engaging storytelling, our book Applied Artificial Intelligence helps you understand how these powerful emerging technologies can be used in your own life and work.
From movie recommendations on Netflix, to partner suggestions on dating apps, AI and machine learning already impact your daily life. Even the routes you choose to commute to work and which friends’ posts you see on Facebook or Twitter are heavily governed by sophisticated algorithms. But machine intelligence isn’t just for consumers. In industries ranging from energy and manufacturing, to gaming and retail, to marketing and healthcare, the leading companies in the world are leveraging AI for a competitive edge.
This is a preview of the full book to come. Follow for more details at www.topbots.com/appliedai.
No Code AI - How to Deploy Machine Learning Models with Zero Code?Skyl.ai
In the past, getting insights from the data using machine learning (ML) and artificial intelligence (AI) required experts with coding skills and knowledge of math & statistics.
The scarcity of talent and huge infrastructure set up cost, often makes it difficult for organizations to get early results from their Machine Learning initiatives. Through this webinar, we will learn how 'No Code AI' tools make it possible to leverage the power of machine learning without needing to code. It is helping business analysts, domain experts, and business decision-makers to experiment and get started with quick-win Machine Learning projects.
What you will learn:
- Traditional vs No Code AI Process
- Best practices to accelerate machine learning adoption
- Demo: How organizations are deploying machine learning models without coding expertise within hours, not weeks
Thriving in an Age of Tech Disruption.pdfMindfire LLC
Since the past decade, the pace of tech disruption has significantly grown with the increasing applications of technologies like AI, ML, and IoT. The global pandemic has only accelerated the wave of tech disruption by creating the demand for innovative and dynamic solutions.
Companies are constantly experiencing the need to innovate faster while keeping up with customer expectations so as to stay competitive. According to McKinsey, businesses adopted digital solutions 25 times faster than their own estimates during the pandemic.
AI in Manufacturing: moving AI from Idea to ExecutionbyteLAKE
#AI and #HPC convergence is here and is here to stay and accelerate innovations across industries. The increased availability of data, hardware advancements leading to increased computational capabilities, and new algorithms and mathematical models have collectively resulted in the accelerated AI expansion in all sorts of applications. This, however, creates high computational needs which naturally have been more and more successfully addressed by HPC (High-Performance Computing). In that sense, AI & HPC complement each other. HPC infrastructure is often used to train AI’s powerful algorithms by leveraging huge amounts of sample data (training set) and in that way enables AI models (trained algorithms) to recognize shapes, objects (machine vision), find answers hidden in the data (predictive maintenance, data analytics) or accelerate time to results (predict the outcome of complex engineering simulations).
We at byteLAKE have been closely working with Lenovo, Lenovo Infrastructure Solutions Group, Intel Corporation, NVIDIA and many more to ensure that our AI-powered products not only help our clients efficiently automate various operations and reduce time and cost but also are highly optimized and make the most of the hardware and software infrastructure where they are deployed. Besides our efforts in bringing AI solutions to the paper industry and manufacturing in general (which I described in my previous post), our efforts in bringing value thru AI in the chemical industry highly benefit from HPC's capabilities to dynamically scale and keep up with performance requirements. Our product, #CFDSuite (AI-accelerated CFD) leverages HPC to efficiently analyze historic CFD simulations and makes it possible for our clients to predict their outcomes on various edge devices i.e. laptops, desktop PCs or local edge servers. And with that in mind, I am very happy to see the byteLAKE team becoming one of the drivers of AI & HPC convergence and leveraging it to bring innovations to various industries.
Links:
- byteLAKE's Cognitive Services: www.byteLAKE.com/en/CognitiveServices (Cognitive Services (AI for Paper Industry & Manufacturing)). Related blog post series: www.byteLAKE.com/en/CognitiveServices-toc
- byteLAKE's CFD Suite: www.byteLAKE.com/en/CFDSuite. Related blog post series: www.byteLAKE.com/en/AI4CFD-toc
- byteLAKE’s CFD Suite (AI-accelerated CFD) — HPC scalability report: https://marcrojek.medium.com/bytelakes-cfd-suite-ai-accelerated-cfd-hpc-scalability-report-25f9786e6123 (full report: https://www.slideshare.net/byteLAKE/bytelakes-cfd-suite-aiaccelerated-cfd-hpc-scalability-report-april21)
- byteLAKE's CFD Suite (AI-accelerated CFD) - product community: www.bytelake.com/en/AI4CFD-pt2 (LinkedIn and Facebook groups)
#AI #IoT #Manufacturing #Automotive #Paper #PaperIndustry #ChemicalIndustry #CFD #FluidDynamics #OpenFOAM #ArtificialIntelligence #DeepLearning #MachineLearning #ComputerVision #Automation #Industry40
Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.
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
201904 How will AI and machine learning transform local search and SMBs? Simon Greenman
From the SIINDA localcomm 2019 conference. We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. And countries are vying for AI supremacy. The question is where does local fit into this new frontier. This session will provide a non-technical introduction to AI and show how value is being created across industries and functions. It will take a deep dive into local and show how AI can be used to drive sales, marketing and customer service; drive efficiencies; deeper insights and competitive differentiation. Weaving in practical case studies it will also look at how the tech giants are becoming AI first companies.
What Is Strong (General) AI? Here Are 9 Practical Examples Bernard Marr
There are two different types of artificial intelligence—weak or narrow AI and strong or general AI. General AI has not been achieved yet, but it describes when machines are able to exhibit full human cognitive skills without any human intervention. Here are 9 practical examples of general artificial intelligence.
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.
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.
Conversational AI versus AI Data ScienceRazorthink
Uncover the difference between a conversational AI and AI data science in this informative presentation, as well as how AI is being used on the Enterprise level.
Artificial Intelligence: Evolution and its Impact on MarketingZenith
In one real-life minute, Google receives over 4 million searches, 2.5 million pieces of content are shared on Facebook, and Pandora users listen to 61 thousand hours of music. The amount of data that is produced in a day is massive that the world has began to turn to artificial intelligence to make use of this data. Read here to learn about the way that artificial intelligence is revolutionizing the use of big data and how this will impact the world of marketing and 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.
Will artificial intelligence replace programmersMaciej Dziergwa
Artificial intelligence can compose songs, paint pictures, help in cancer therapy, drive cars and play games. It’s also starting to write code.
Does it mean that the days of human programmers are already numbered? Will software engineering be automated?
What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...Bernard Marr
Did you know there are two forms of artificial intelligence? Weak or narrow artificial intelligence (AI) is what we encounter daily today. Strong or general AI is the next phase where machines can think like humans without being programmed by humans. Learn the differences between weak and strong AI.
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...Adelyn Zhou
This is a preview of the full book on Applied Artificial Intelligence. For details and more content, visit www.topbots.com/appliedai.
“Artificial intelligence” is the buzz word of the day. You’ve no doubt read your fair share of media hype either proclaiming doom and gloom where robots seize our jobs or prophesying a new utopia where AI cures all our human problems.
The reality is somewhere in between. Unless you work in the field, you may be wondering how AI is used, or even what “AI” really is. Using concrete examples and engaging storytelling, our book Applied Artificial Intelligence helps you understand how these powerful emerging technologies can be used in your own life and work.
From movie recommendations on Netflix, to partner suggestions on dating apps, AI and machine learning already impact your daily life. Even the routes you choose to commute to work and which friends’ posts you see on Facebook or Twitter are heavily governed by sophisticated algorithms. But machine intelligence isn’t just for consumers. In industries ranging from energy and manufacturing, to gaming and retail, to marketing and healthcare, the leading companies in the world are leveraging AI for a competitive edge.
This is a preview of the full book to come. Follow for more details at www.topbots.com/appliedai.
No Code AI - How to Deploy Machine Learning Models with Zero Code?Skyl.ai
In the past, getting insights from the data using machine learning (ML) and artificial intelligence (AI) required experts with coding skills and knowledge of math & statistics.
The scarcity of talent and huge infrastructure set up cost, often makes it difficult for organizations to get early results from their Machine Learning initiatives. Through this webinar, we will learn how 'No Code AI' tools make it possible to leverage the power of machine learning without needing to code. It is helping business analysts, domain experts, and business decision-makers to experiment and get started with quick-win Machine Learning projects.
What you will learn:
- Traditional vs No Code AI Process
- Best practices to accelerate machine learning adoption
- Demo: How organizations are deploying machine learning models without coding expertise within hours, not weeks
Thriving in an Age of Tech Disruption.pdfMindfire LLC
Since the past decade, the pace of tech disruption has significantly grown with the increasing applications of technologies like AI, ML, and IoT. The global pandemic has only accelerated the wave of tech disruption by creating the demand for innovative and dynamic solutions.
Companies are constantly experiencing the need to innovate faster while keeping up with customer expectations so as to stay competitive. According to McKinsey, businesses adopted digital solutions 25 times faster than their own estimates during the pandemic.
AI in Manufacturing: moving AI from Idea to ExecutionbyteLAKE
#AI and #HPC convergence is here and is here to stay and accelerate innovations across industries. The increased availability of data, hardware advancements leading to increased computational capabilities, and new algorithms and mathematical models have collectively resulted in the accelerated AI expansion in all sorts of applications. This, however, creates high computational needs which naturally have been more and more successfully addressed by HPC (High-Performance Computing). In that sense, AI & HPC complement each other. HPC infrastructure is often used to train AI’s powerful algorithms by leveraging huge amounts of sample data (training set) and in that way enables AI models (trained algorithms) to recognize shapes, objects (machine vision), find answers hidden in the data (predictive maintenance, data analytics) or accelerate time to results (predict the outcome of complex engineering simulations).
We at byteLAKE have been closely working with Lenovo, Lenovo Infrastructure Solutions Group, Intel Corporation, NVIDIA and many more to ensure that our AI-powered products not only help our clients efficiently automate various operations and reduce time and cost but also are highly optimized and make the most of the hardware and software infrastructure where they are deployed. Besides our efforts in bringing AI solutions to the paper industry and manufacturing in general (which I described in my previous post), our efforts in bringing value thru AI in the chemical industry highly benefit from HPC's capabilities to dynamically scale and keep up with performance requirements. Our product, #CFDSuite (AI-accelerated CFD) leverages HPC to efficiently analyze historic CFD simulations and makes it possible for our clients to predict their outcomes on various edge devices i.e. laptops, desktop PCs or local edge servers. And with that in mind, I am very happy to see the byteLAKE team becoming one of the drivers of AI & HPC convergence and leveraging it to bring innovations to various industries.
Links:
- byteLAKE's Cognitive Services: www.byteLAKE.com/en/CognitiveServices (Cognitive Services (AI for Paper Industry & Manufacturing)). Related blog post series: www.byteLAKE.com/en/CognitiveServices-toc
- byteLAKE's CFD Suite: www.byteLAKE.com/en/CFDSuite. Related blog post series: www.byteLAKE.com/en/AI4CFD-toc
- byteLAKE’s CFD Suite (AI-accelerated CFD) — HPC scalability report: https://marcrojek.medium.com/bytelakes-cfd-suite-ai-accelerated-cfd-hpc-scalability-report-25f9786e6123 (full report: https://www.slideshare.net/byteLAKE/bytelakes-cfd-suite-aiaccelerated-cfd-hpc-scalability-report-april21)
- byteLAKE's CFD Suite (AI-accelerated CFD) - product community: www.bytelake.com/en/AI4CFD-pt2 (LinkedIn and Facebook groups)
#AI #IoT #Manufacturing #Automotive #Paper #PaperIndustry #ChemicalIndustry #CFD #FluidDynamics #OpenFOAM #ArtificialIntelligence #DeepLearning #MachineLearning #ComputerVision #Automation #Industry40
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.
Information Technology Is Now Being Reshaped By Many Advance Technologies Rapidly Growing In The Market. Starting From Small Pin To Huge Machines These Innovative technical Trends Are Being Used Daily.
How can AI & Automation make your business processes intelligentMindfields Global
Enterprises gain a deeper understanding of their processes as they progress further into their automation journey. Exploring the connection between AI, automation and understanding how these technologies help make your business processes intelligent is a necessary next step.
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.
With enterprises putting digital at the core of their transformation, our annual Data Science & AI Trends Report explores the key strategic shifts enterprises will make to stay intelligent and agile going into 2019. The year was marked by a series of technological advances, including advances in AI, deep learning, machine learning, hybrid cloud architecture, edge computing (with data moving away to edge data centres), robotic process automation, a spurt of virtual assistants, advancements in autonomous tech and IoT.
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.
Presentation the internet of things - are organizations ready for a multi-tr...Rick Bouter
Presentation the internet of things - are organizations ready for a multi-trillion dollar prize - Karl Bjurström, Capgemini Consulting - digital transformation
AI & Analytics Predictions of 2022. InfographicInData Labs
What does 2022 hold for artificial intelligence? Will the AI revolution continue to gain momentum?
This report will provide a look into the future of AI technologies, including:
- Strategic AI predictions and trends for 2022 and beyond
- The current and projected state of the AI market and its value
- Business functions that already benefit from AI implementation
- Industries where AI is making the greatest disruption
- The business value generated by Artificial Intelligence
- Costs of AI implementation and main challenges
How to deliver faster AI insights while safeguarding data security and privacy? Orange Business Services
Artificial intelligence is already transforming and will continue to transform business and society as we know them today.
Where should we start?
What practical things do you need to think about as you experiment with AI in discrete areas of your business?
How will your approach to data “the raw material for AI” need to change as you scale your use of AI and automation throughout your business?
And last but not least, what ethical and security questions need to be addressed?
Anne Sophie Lotgering explains in detail in the speaker session at Gartner ITxpo Barcelona 2018.
More about Orange Business Services:
Official website: http://www.orange-business.com/en
Facebook: https://www.facebook.com/orangebusiness/
Twitter: https://twitter.com/orangebusiness
Linkedin: https://www.linkedin.com/company/orange-business-services/
Slideshare: http://www.slideshare.net/orangebusiness
Pinterest: https://fr.pinterest.com/orangebusiness
The Internet of Things: Are Organizations Ready For A Multi-Trillion Dollar P...Capgemini
The potential of IoT is immense, with a trillion dollar potential. Gartner predicts the lion part of the IoT market to come from Apps and Analytics. New capabilities are needed to take position in IoT. Leaders are now investing in becoming data driven enterprises – IoT bring enablers across an organization.
The world is changing at an unprecedented rate and most of these changes can be attributed to the rapid technological progress being made by humans. Progress in the fields of Artificial Intelligence and Machine Learning has been crucial for making our lives more convenient and better.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Epistemic Interaction - tuning interfaces to provide information for AI support
Why Artificial Intelligence?
1. Artificial Intelligence is
NOT just a buzzword
anymore
AI style transfer generated artwork @Tinman Kinetics 'Art with Heart' Charity event
2. Cloud
Big Data
IoT
Artificial Intelligence
AI + Blockchain
2010
2013
2015
2018
Future
Waves of Innovation
Machine Learning
Deep Learning (Neural Networks)
Natural Language Processing
Machine Vision
Algorithms
6. Product Enhancement
Automation to free up
workers
Optimize Business
Operations
Better Decision
Making
Optimize Marketing
and Sales
Pursue New Markets
Create New Products
Artificial
Intelligence
Delivers
8. AI and
encryption
work very
well together
Semantic ML
will allow for
better human
interface with
AI
Possibility of
quantum
linear system
algorithms
Tomorrow:
Artificial
Intelligence
+ Blockchain
+ Semantic ML
+ Quantum/Analog
10. Why AI Transformation Now?
AIl Transformation represents
a potential value opportunity
of as much as $100 trillion by
2025 for both industry and
society.
Companies that become
digital enterprises can look
forward to a 26% increase in
profitability, 12% increase in
valuation, and 9% increase in
revenue to asset ratio.
Digital business currently
accounts for 18% of overall
revenue and predicts a jump to
43% by 2020
Since 2000, 52% of companies
in the Fortune 500 have either
gone bankrupt, been acquired
or ceased to exist.
11. AI Framework
Managed
Platform
Adaptive
Digital
Transformation
Accelerated
Development
R&D
Consulting
Applied AI
Solutions
- Core Business Value in Data and Technology Smart Blocks
- IP Portfolio access; faster to market and cost efficient
- Leverage IP Portfolio ownership with Positive ROI
- Unify Tech, Tech Debt Management & Maintenance Plan
- Robust Data Governance
- Proof of Concept and MVP Deliverables
- Leverage Technology Partners
- Evaluate buy over build options
- Leverage Open Source
- Digital Transformation
- Business + Technology Alignment
- Product Strategy Development
- Software Development and Implementation
- Change Management
- Cognitive DNA inspired R&D Software Development
- Leading companies with their R&D Initiatives
- Value driven ideation to real-time Cognitive Solutions
INDUSTRY
Energy
Manufacturing
Communications
Healthcare
Space
Transportation
Entertainment