Artificial intelligence is purported to improve workplace productivity. But does it really? This presentation takes a hard look at where AI is today and which aspects can truly help today's Digital Workplace improve productivity.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
Startup 101 for Freshmen and Sophomore class of Computer Innovation Engineer (International class) at King Mongkut's Institute of Technology Ladkrabang (KMITL)
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Artificial Intelligence and the Future of HumanityGerd Leonhard
A collection from Gerd's recent keynotes and presentation. See www.gerdtube.com for videos and www.techvshuman.com for more details about the book 'technology vs humanity'
Artificial intelligence is purported to improve workplace productivity. But does it really? This presentation takes a hard look at where AI is today and which aspects can truly help today's Digital Workplace improve productivity.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
Startup 101 for Freshmen and Sophomore class of Computer Innovation Engineer (International class) at King Mongkut's Institute of Technology Ladkrabang (KMITL)
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Artificial Intelligence and the Future of HumanityGerd Leonhard
A collection from Gerd's recent keynotes and presentation. See www.gerdtube.com for videos and www.techvshuman.com for more details about the book 'technology vs humanity'
AI has an inevitable impact on your next generation products and services. Things evolved relatively slow since the first AI experiments in the ’60s. Today, AI is accelerating as no other technology has done before. How will the 4th wave of Artificial Intelligence transform your future business?
This report helps understanding the concept of artificial intelligence : the history, today's definition, the market dynamics, the benefits, the perception by the public, the real-life applications as well as the limits.
THIS IS AN INTRODUCTORY PPT OF EMERGING TECHNOLOGIES AND NEED IN REAL LIFE. THIS WIL EXPLAIN BSICS ABOUT ALL EMERGING TECHNOLOGY AND THEIR APPLICATION IN VARIOUS SECTOR
Artificial Intelligence Course | AI Tutorial For Beginners | Artificial Intel...Simplilearn
This Artificial Intelligence presentation will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life.
The topics covered in this Artificial Intelligence presentation are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case - Predicting if a person has diabetes or not
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretic
Learn more at: https://www.simplilearn.com
Artificial intelligence and concept of machine learningPoojaIRathi
Concept of Artificial Intelligence
Artificial Intelligence Applications
What is Machine Learning
Artificial Intelligence Vs Machine Learning
Types of Machine Learning
What is Deep Learning
Artificial Intelligence Vs Machine Learning Vs Deep Learning
Data Science
Machine Learning Vs Data Science
With this Powerpoint presentation you will be to understand Artificial Intelligence or A.I. . See you learnt something from the description. Other name of Artificial Intelligence!!!
An Overview of Artificial intelligence (Part 1)Vijay R. Joshi
This PPT is part 1 which gives a short overview about Artificial Intelligence, its Application , what contributes to AI , techniques of AI, History of AI etc.
Artificial Intelligence (AI) -> understanding what it is & how you can use it...Adela VILLANUEVA
The goal of this presentation is to provide you with a basic understanding of AI and to prepare you to think about how your organization might apply it.
Artificial Intelligence (Current state and future of A.I) by Mudasir KhushkMudsaraliKhushik
Artificial Intelligence(Current state and future of A.I) by Mudasir Khushik student of University Of Sindh Campus at Thatta.
This Presentation will be really helpful for those students who are researching on Artificial Intelligence, these slides will tell you all about Artificial Intelligence its current state as well as its future.
An overview of issues and early work on combining human computation and scalable computing to tackle big data analytics problems. Includes a survey of relevant projects underway at the UC Berkeley AMPLab.
AI has an inevitable impact on your next generation products and services. Things evolved relatively slow since the first AI experiments in the ’60s. Today, AI is accelerating as no other technology has done before. How will the 4th wave of Artificial Intelligence transform your future business?
This report helps understanding the concept of artificial intelligence : the history, today's definition, the market dynamics, the benefits, the perception by the public, the real-life applications as well as the limits.
THIS IS AN INTRODUCTORY PPT OF EMERGING TECHNOLOGIES AND NEED IN REAL LIFE. THIS WIL EXPLAIN BSICS ABOUT ALL EMERGING TECHNOLOGY AND THEIR APPLICATION IN VARIOUS SECTOR
Artificial Intelligence Course | AI Tutorial For Beginners | Artificial Intel...Simplilearn
This Artificial Intelligence presentation will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life.
The topics covered in this Artificial Intelligence presentation are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case - Predicting if a person has diabetes or not
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretic
Learn more at: https://www.simplilearn.com
Artificial intelligence and concept of machine learningPoojaIRathi
Concept of Artificial Intelligence
Artificial Intelligence Applications
What is Machine Learning
Artificial Intelligence Vs Machine Learning
Types of Machine Learning
What is Deep Learning
Artificial Intelligence Vs Machine Learning Vs Deep Learning
Data Science
Machine Learning Vs Data Science
With this Powerpoint presentation you will be to understand Artificial Intelligence or A.I. . See you learnt something from the description. Other name of Artificial Intelligence!!!
An Overview of Artificial intelligence (Part 1)Vijay R. Joshi
This PPT is part 1 which gives a short overview about Artificial Intelligence, its Application , what contributes to AI , techniques of AI, History of AI etc.
Artificial Intelligence (AI) -> understanding what it is & how you can use it...Adela VILLANUEVA
The goal of this presentation is to provide you with a basic understanding of AI and to prepare you to think about how your organization might apply it.
Artificial Intelligence (Current state and future of A.I) by Mudasir KhushkMudsaraliKhushik
Artificial Intelligence(Current state and future of A.I) by Mudasir Khushik student of University Of Sindh Campus at Thatta.
This Presentation will be really helpful for those students who are researching on Artificial Intelligence, these slides will tell you all about Artificial Intelligence its current state as well as its future.
An overview of issues and early work on combining human computation and scalable computing to tackle big data analytics problems. Includes a survey of relevant projects underway at the UC Berkeley AMPLab.
Can Computers Design? Presented at interaction16, March 2, 2016, Helsinki by ...Aalto University
This talk outlines how algorithms may change the way user interfaces are designed. I present foundations and results across a range of user interface types.
Sebuah presentasi singkat mengenai Revolusi Industri 4.0 dalam Bahasa Indonesia (ID)
A brief presentation about Industrial Revolution 4.0 in Bahasa Indonesia (ID)
AI and the Professions: Past, Present and FutureWarren E. Agin
A presentation to the National Conference of Lawyers and CPA’s - December 11, 2017. Describes the history of AI, explains why the legal and accounting professions are at a turning point, and predicts changes in the professions from AI adoption.
Analytic Law, LLC helps law firms and departments discover how to solve legal problems using analytic techniques, including data analytics, prediction systems, machine learning, game theory and behavioral economics.
[Srijan Wednesday Webinars] Artificial Intelligence & the Future of BusinessSrijan Technologies
“AI is the new electricity” – Andrew Ng, former Chief Data Scientist, Baidu
Artificial Intelligence is the new frontier for human evolution. It will upend industries, cause fundamental shifts in processes and jobs, and create unprecedented innovation.The question one wishes to answer is: how and why it impacts industry, and how can it be leveraged by businesses.
This session will introduce AI and machine learning: the process of creating AI, and go on to discuss the key applications of these emerging technologies. We will also dive into a preliminary review of ML algorithms and how they work.
Key Takeaways:
- Define AI and ML, and the philosophy behind these new technologies
- The impact of AI on jobs, communities, business, and industry
- The use cases of AI in different industries like hi-tech, manufacturing, healthcare, publishing and media, education, transportation etc.
-Introduction to machine learning algorithms like classification, regression, neural networks etc.
Check our webinars series and sign up for future webinar notifications at: www.srijan.net/webinar/past-webinars
An Intro to AI With Applications in Real EstateTrent McConaghy
Contents:
-Definitions of Artificial Intelligence (AI), from "passes Turing test" to "set of algorithms"
-Specific AI algorithms / tools, with emphasis on real estate
-The challenge of data
-Bonus: self-owning AI?
Video: https://www.youtube.com/watch?v=a5VnHvZ0Iuo&feature=youtu.be&ab_channel=FUTURE%3APropTechBerlin
In AI, it's all about the data. But it's hard to get the data, and to get *good* data with provenance. This talk shows how blockchains can help, with real-world examples including:
-a data exchange for self-driving car data (with Toyota Research and others)
-pooling designs for 3d printing fraud detection (with Innogy and others)
-and AI DAOs - AIs that can accumulate wealth
This was given as an invited talk at Consensus 2017, May 22 in NYC.
The AI Platform Business Revolution: Matchmaking, Empathetic Technology, and ...Steve Omohundro
Popular media is full of stories about self-driving cars, video deepfakes, and robot citizens. But this kind of popular artificial intelligence is having very little business impact. The actual impact of AI on business is in automating business processes and in creating the "AI Platform Business Revolution". Platform companies create value by facilitating exchanges between two or more groups. AI is central to these businesses for matchmaking between producers and consumers, organizing massive data flows, eliminating malicious content, providing empathetic personalization, and generating engagement through gamification. The platform structure creates moats which generate outsized sustainable profits. This is why platform businesses are now dominating the world economy. The top five companies by market cap, half of the unicorn startups, and most of the biggest IPOs and acquisitions are platforms. For example, the platform startup ByteDance is now worth $75 billion based on three simple AI technologies.
In this talk we survey the current state of AI and show how it will generate massive business value in coming years. A recent McKinsey study estimates that AI will likely create over 70 trillion dollars of value by 2030. Every business must carefully choose its AI strategy now in order to thrive over coming decades. We discuss the limitations of today's deep learning based systems and the "Software 2.0" infrastructure which has arisen to support it. We discuss the likely next steps in natural language, machine vision, machine learning, and robotic systems. We argue that the biggest impact will be created by systems which serve to engage, connect, and help individuals. There is an enormous opportunity to use this technology to create both social and business value.
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
Blockchains may provide the operating system for a new world, but what will that world look like? We dream of a crypto utopia, but the reality has been less hopeful. Proof of work is an environmental nightmare. Proof of stake formalizes the oversized influence of the rich. Since IPDB’s inception, we’ve been trying to create a system of governance that delivers the future we want. This is what we’ve learned.
Greg McMullen, Executive Director of IPDB, presents his 9984 Summit: Blockchain Futures for Developers, Enterprises and Societies keynote on how to think about blockchain governance.
Personal data and the blockchain – how will the GDPR influence blockchain app...BigchainDB
Simon Schwerin from BigchainDB talkst about privacy and blockchain:
There are many blockchain applications in the field of identity, IP, finance and energy that are working with personal data. As of May, 28 2018 the new EU GDPR will be implemented, with the aim to strengthen the human rights of individuals, by increasing protection and a feel of ownership of their personal data. It is also supposed to be designed to be technologically neutral and adaptable to processing personal data in different contexts, structures and manners. With regards to blockchain this leaves many questions open, to name a few:
Who will be the data controller in decentralized multi-node systems? – Is there an Accountability Gap? Difference of Private vs. Public set-ups?
Privacy by Design/Default and blockchain core features – Implementation or Clash of Principles? What about the right to be forgotten?
How could a blockchain privacy impact assessment (bPIA) look like to increase the chance of compliance with GDPR next year?
Dr. Dimitri De Jonghe of BigchainDB talks about:
Transparent Supply Chains:
-Know Your Product
-Product Identity
-Fraud detection
-Utilities as a service
Smart Factories as a Service:
-Rent-per-use / factory as a service
-ICO per product/recipe
-Self-owned factories
Artificial Intelligence (AI) and Law - BigchainDB & IPDB Meetup #4 - April 05...BigchainDB
Greg McMullen, Executive Director of the IPDB Foundation, discusses the legal and policy issues raised by AI, including employment, liability, ability to contract, intellectual property rights, and human rights.
Trent McConaghy, CTO of BigchainDB, talks about the journey from blockchain databases, to DAOs to AI DAOs, covering everything from the architecture to knowledge extraction and machine creativity.
Opening presentation by Trent McConaghy at BigchainDB Hackfest #1 - Feb 28, 2017BigchainDB
Trent McConaghy's, CTO of BigchainDB, opening presentation at the first BigchainDB hackfest hosted alongside Microsoft and innogy. Showcasing our “hackathon-ready” product with real use cases thanks to Riddle&Code, LungoTavolo, Volkswagen Financial Services.
Blockchains and Governance: Interplanetary Database - BigchainDB & IPDB Meetu...BigchainDB
Greg McMullen, president of IPDB.foundation talks about the importance of traditional vs. blockchain governance to run a decentralised organisation and database technology.
Estonia E-Residency: Country as a Service - BigchainDB & IPDB Meetup #3 - Fe...BigchainDB
BigchainDB CTO Trent McConaghy talks about the e-residency program of Estonia.
Typically “citizens” have rights -
But what rights do I have as a citizen of “the world”?
Blockchain Beyond Finance - Cronos Groep - Jan 17, 2017BigchainDB
Towards the internet of value & trust.
"To develop shared global compute infrastructure,
we must first understand the status quo of infrastructure,
...and how to change it accordingly."
Dimitri De Jonghe, lead developer of BigchainDB talking about blockchain technology beyond the financial sector.
COALA IP: a blockchain-ready Intellectual property licensing protocol - Bigch...BigchainDB
Tim Daubenschütz, developer and product manager at BigchainDB talks about COALA IP:
A blockchain-ready, community-driven protocol for intellectual property licensing.
COALA IP
...is Open: Developed in the open by a community effort, (COALA). Available under a Creative Commons license. Use how you like, just give attribution.
...Works for all media formats from JPEGs to STL. Plays well with existing protocols like DDEX (music), and PLUS photos and mashups like video stills
...to Use by blockchain startups and existing rights holders alike. Connect creatives with audiences via seamless IP handling. A win-win for all.
More information here: https://www.coalaip.org/
The new decentralized compute stack and its applicationBigchainDB
Dimitri De Jonghe of BigchainDB talks about the new decentralized compute stack, which helps to understand how your blockchain application or use case fits.
Examples of current applications and uses are also given.
Please contact BigchainDB for putting your blockchain idea into practice, today.
A database for the planet - Scot Chain Edinburgh - Nov 11, 2016BigchainDB
Bruce Pon, CEO of BigchainDB talks about a database for the planet and mass adoption. But to reach everyone, it will need scale and the possibility for interoperability with legacy systems.
BigchainDB: Blockchains for Artificial Intelligence by Trent McConaghyBigchainDB
How can blockchains help AI?
-Decentralized model exchange
-Model audit trail
-AI DAOs
-more
A blockchain caveat or two
Completely new code bases
Reinventing consensus
No sharding = no scaling
No querying // single-node querying
Let’s fix this...
Why Blockchain Matters to Big Data - Big Data London Meetup - Nov 3, 2016BigchainDB
Why does blockchain matter to Big Data?
Bruce Pon, CEO and Co-Founder of BigchainDB talks about how blockchain and big data work together.
Follow BigchainDB on LinkedIn, download the whitepaper or sign up with at the IPDB Foundation to get access to a first test network build with BigchainDB to build your own blockchain application.
A BigchainDB use case: Weaving the ILP fabric into BigchainDBBigchainDB
Dimitri De Jonghe from Ascribe/BigchainDB describes how Interledger provides a powerful logical framework for distributed ledgers. He demonstrates the use of crypto-conditions inside of BigchainDB, making it the first distributed ledger with native interoperability through Interledger.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. [ibm.com]
What’s Artificial Intelligence (AI)?
Original:
“A machine that can replicate human cognitive behavior”
[Turing test]
Now:
“Can perform a task that traditionally only a human could do”
[e.g. AlphaGo]
+
“Can perform a task at speed / accuracy / capacity not possible by a
human.”
[e.g. Driving Moore’s Law]
3. What’s Artificial Intelligence (AI)?
AI has a toolbox of ways to
solve:
• Classification
• Regression
• Knowledge extraction
• Optimization
• Structural design
• …
Example biz benefits:
• Shorter time to market
• Lower cost
• Higher yield
• New products possible
Let’s explore these more…
4. Classification, in 2D
Use case: credit card applications
Salary
Age
Salary
Age
Didn’t pay
Paid bills
Credit profile:
How: linear classifiers, neural networks / deep learning, support vector
machines, boosted trees, random forests / bagged trees
13. Optimization
Use Case: Interactive Circuit Design [McC ’12 Solido]
Decision variables
are ranked by
importance. User
selects variable(s)…
… to plot predictions
of outcomes at
selected variables
Under the hood, a machine learning engine adaptively samples the
space of possible decisions, and measures outcomes.
… and explore decision
space (by dragging the
orange crosshairs)
22. AGI: Artificial General Intelligence
“AI meets Feedback Control Systems”
Update internal state based on estimate of world state
Controller
Motor
effector
Internal
forward
model
Sensory
systems
Motor
command (World)
State
change
Measured sensory
consequences
(World)
State
estimation
Predicted sensory
consequences
23. Recap so far
AI has a toolbox of ways
to solve:
• Classification
• Regression
• Knowledge extraction
• Optimization
• Structural design
• …
Example biz benefits:
• Shorter time to market
• Lower cost
• Higher yield
• New features possible
24. AI Sub-Fields
• machine learning
• neural networks / deep learning
• evolutionary computation (GAs, GP, ES, ..)
• swarm algorithms (ACO, PSO, ..)
• artificial general intelligence (AGI)
Strong relations to:
• statistics (“ML is modern statistics”), probability
• linear algebra (“flow of tensors” – TensorFlow)
• nonlinear programming, optimization
• control systems / cybernetics
• Monte Carlo methods
• philosophy, ethics (friendly AIs, AI rights, ..)