What Is the EU’s Artificial Intelligence Act and What Will It Change? by Sara Tähtinen via @TDataScience

Explaining the proposed AI regulations in the EU.

This is really important to understand even if you do not create or use them yourself as the chances are that something you do use them even if it is via your bank.

The AIoT Revolution: How AI and IoT Are Transforming Our World by Nahla Davies via @kdnuggets

The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

This was clear and easy to understand. I hadn't really understood the full meaning of this before I read her great article.

ONLINE CONFERENCE - oneAPI DevSummit for AI 2022 - 12 July 2022

 

Are you a researcher, data scientist, or developer looking to build AI applications and seamlessly scale them from edge to cloud?

Join us for a day of discovery with renowned industry experts who will demystify the latest technologies, tools, trends, and techniques.

• Drop-in optimizations across popular frameworks and libraries for deep learning, machine learning, and data analytics—TensorFlow, PyTorch, scikit-learn, and more.
• Intel AI tools for end-to-end development—data preparation, training, inference, deployment, and scaling
• A hands-on workshop on dinosaur hunting (yes, you read that correctly)
• Opportunities to attend tech talks and panel discussions with tech experts from Google, Accenture, RedHat, JD.COM, Aible and more.

Expand your view and vision across the AI technology spectrum to get started on your development journey or supercharge your existing one.

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Register

WEBINAR: Code-First Data Science Using DataRobot’s AI Cloud Platform - 5 May 2022

 

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Code-first data science using DataRobot's AI cloud platform For many Data Scientists, writing code to explore, transform, and visualize data is an essential part of getting value from data. Hear more about DataRobot’s AI cloud tools for code-first data scientists and developers from Dave Anderson, VP of AI Evangelism, and Dan Maloney, EVP of Zepl, and watch how you can put it into practice with some short demos from Solutions Architect, Alec Seims.  In this webinar, you'll learn about: Companies using code-based tools to get more value from data and models Leveraging unlimited compute power and storage with a notebook platform Streamlining data exploration and visualization with DataRobot AI Cloud Don't miss out on hearing our experts talk about DataRobot’s AI Cloud, a unified environment optimized across the entire AI lifecycle from data to value. Register Now

WEBINAR: Shadow AI: The Silent Killer of Deep Learning Productivity - 17 March 2022

 

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Shadow AI: The Silent Killer of Deep Learning Productivity What: A free online webinar exclusively for IT Pros When: Thursday, March 17th, 12:00 PM EDT Where: From the convenience of your personal computer  Register Now In this latest Data Science Central webinar, meet Shadow IT’s younger sibling. Shadow AI is the result of one-off AI initiatives inside organizations, where siloed AI teams buy their own infrastructure or use cloud compute resources. While no organization wants to stifle the ambition of its data science teams, this decentralized approach results in many AI initiatives never making it to production. Learn from Gijsbert Janssen van Doorn at Run:ai how to centralize AI so that it is accessible and productive across an entire organization. In this webinar, you will learn: Why Shadow AI exists, and how to prevent it at your organization The benefits of centralizing your AI compute resources What a best-practice centralized AI infrastructure looks like Hope to see you there, Sean Welch Data Science Central

WEBINAR: Data Privacy using AI-Driven Data Catalogs - 14 December 2021

 

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Data Privacy using AI-Driven Data Catalogs What: A free online webinar exclusively for IT Pros When: Tuesday, December 14th, 8:30 AM PST / 11:30 AM EST Where: From the convenience of your personal computer  Register Now Do you have your Enterprise’s data privacy under control? Do you know what datasets are sensitive and who has access? Many companies are behind on privacy and regulatory compliance (GDPR, CCPA, etc.). Legacy tools and manual processes are inaccurate and error prone and can force you to choose between delaying data access by months, or increased compliance risk. Join us for this latest Data Science Central webinar to learn how an AI-driven data catalog can automate sensitive data discovery and apply business rules to help get data privacy and compliance under control. Speakers: Nerea Palacio, Data Protection Officer & Senior Regional Counsel, Hitachi Vantara Glen Martin, Lumada SaaS Master Product Management, Hitachi Vantara

WEBINAR: Factory 5.0: ML-Powered Manufacturing Workshop - 18 November 2021

 

Workshop Series Click Here to Register Title: Factory 5.0: ML-Powered Manufacturing Workshop  Date: Thursday, November 18, 2021 Time: 8:00 am PST/ 4:00 pm UTC Duration: 120 minutes   SUMMARY This live two-hour workshop is hosted by Arduino PRO’s enterprise-class hardware and Edge Impulse, the world’s leading embedded ML platform for the enterprise. This workshop caters to professionals who are seeking to learn how to build AI-powered solutions for manufacturing processes. Paying participants will receive an official Edge Impulse certificate signed by the CEO, which will be mailed to every registrant who attends and completes the workshop.  Overview: Smart Industry is here and it's helping almost every industry do a lot more with a lot less. From logistics, manufacturing, automotive, retail, oil & gas, pharma, to medicine, companies can start the process of digitization step by step just using the visual data they have accumulated via cameras, advanced MCUs, and machine learning. Such AI-powered systems can provide more than just accurate results but can help humans get more done, eliminating mundane and repetitive tasks.  Sample use cases that can be applied to most other industries: Learn how to apply computer vision to determine counterfeit  Scan for defective goods during the packaging processes Use machine vision to find objects or humans in restricted areas Use computer vision for quality control of pests in agriculture Apply computer vision for maintaining security perimeters Deploy AI to control the goods on the shelves of the supermarket Hardware: Core Board: Arduino Portenta H7 Lite Vision Shield: Arduino Portenta Vision Shield - Ethernet Instructor: Louis Moreau, User Success Engineer, Edge Impulse Guest: Andrea Richetta, Head of Arduino PRO Customer Success   Click Here to Register

How Intelligent Marketers Use AI by Steve Jones via @Datafloq

Few technological innovations have delivered as many welcomed improvements to the marketplace as artificial intelligence has.

A good article that will help you to understand the use of AI in marketing.

WEBINAR: Register for the 2021 Fall Graph + AI Summit - 5th and 19th October 2021

 

Sponsored News from Data Science Central Graph + AI Summit Fall - October 2021 The Graph + AI Summit is focused on accelerating analytics, AI, and machine learning with graph algorithms. The Fall Summit returns October 5 from San Francisco and October 19 from New York (in-person attendance by nomination). Sessions and keynotes will be streamed live on each date with online content and workshops available in between.   The Graph + AI Summit held this spring attracted 7,000 attendees from 74 countries. Data scientists, data engineers, architects, and business and IT executives from over 182 of the Fortune 500 companies participated in April's event. Speakers included experts from JPMorgan Chase, New Day, Intuit, Amazon, Exact Sciences, Jaguar Land Rover, Pinterest, Stanford University, Forrester Research, Accenture, Capgemini, KPMG, Intel, Dell, and Xilinx, along with many innovative startups. The Graph + AI Summit Fall 2021 roster will feature many of these thought leaders along with new speakers from the world’s largest companies across all industries. Rita Sallam Distinguished VP Analyst and Gartner Fellow at Gartner Research will deliver the opening remarks at Graph + AI Summit, San Francisco, on October 5. Mrs. Sallam's focus includes tracking and predicting market trends, vendor assessment and selection, and identifying best practices for making analytics pervasive and strategic to the business.  Dan McCreary, Distinguished Engineer in AI and Graph at Optum (a division of UnitedHealth Group) will present an overview of key use cases combining Graph with machine learning to find similar patients and improve provider recommendations for over 50 million customers.  Gautam Gupta, Technology Leader focused on AI, ML, Data Science, and Cloud at Intuit Corporation will share how AI-based customer 360 has boosted fraud detection by 50% and is powering entity resolution and personalized recommendations for Intuit's customers.  Join us in October and level-up your knowledge as a data scientist, engineer, architect, or business executive with sessions covering: Graph case studies in three industry tracks: Banking, Insurance, and Fintech Technology, Advertising, Media, and Entertainment Healthcare, Life Sciences and Government Hands-on workshops and technical breakout sessions for the integration of graph algorithms into your Analytics and AI projects Certification on graph algorithms for machine learning Enterprise-ready visualization dashboards that integrate AI with your graph-based solutions Secure your complimentary virtual registration and learn more about in-person attendance and speaking submissions:

WEBINAR: AI vs unstructured data: Best practices for scaling video AI - 15 September 2021

 

AI vs unstructured data: Best practices for scaling video AI What: A free online webinar exclusively for IT Pros When: Wednesday, September 15th, 9 AM PST / 12 PM EST Where: From the convenience of your personal computer  Register Now In this latest Data Science Central webinar, Vincent Koops, Senior Data Scientist at RTL Netherlands, will walk through their Video AI platform at RTL and how they’ve addressed the challenge of scaling and automating their ML lifecycle when working with large unstructured datasets. Their platform is built on top of Pachyderm and Kubernetes to enable a wide range of ML applications such as automatic thumbnail picking and mid-roll marking. Register to learn: - How to take a modular approach to creating a scalable and automated ML platform - The challenges and best practices when working with unstructured data like video clips - Considerations your teams need to make to prevent human error while getting the most out of AI and ML Hope to see you there! Sean Welch Data Science Central

AI Doesn’t Have to Be Too Complicated or Expensive for Your Business by Andrew Ng via @HarvardBiz

For companies that are interested in using AI but don't have access to vast troves of data, there hasn't been a clear path to follow. But because of that, those industries may be the best-untapped opportunities for AI. In this article, Andrew Ng takes a look at the issues, the opportunities, and why now is the time to get started.

A good piece and a great explanation of how a small and simple use of AI could give you a great benefit that doesn't have to cost the earth. We all know, sometimes it is good to do a project with a quick win in order to gain confidence in technology as well as the ability of the department's ability to deliver.

3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks by Terence Shin via @kdnuggets

While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.

Some really good points in this article that make sense if you think about it a bit more. I particularly like point #2 as anything that makes it easier to communicate with others definitely gets my vote.

WEBINAR: Augmented Intelligence: Celebrating Human Expertise - 28 July 2021

 

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Augmented Intelligence: Celebrating Human Expertise July 28th, 2021 | 11:00 AM EDT - 45 minutes, including Q&A Register now The most powerful computers on the planet still can't perform some of the tasks a human toddler is capable of. Join us on Wednesday, July 28th at 11am EDT for a conversation between Chief AI Evangelist Ben Taylor and Chief Medical Artificial Intelligence Officer at Northwest Medical Center, Dr. Zain Khalpey. The two will discuss why you need both human and artificial intelligence, as well as how to increase your chances of success with AI by involving your subject matter experts. In this webinar, we will discuss: Human intelligence Artificial intelligence The meaning of augmented intelligence and why it is needed How to best leverage augmented intelligence to convince stakeholders that AI systems are working and delivering value Register now

Data Rights Will Be The New Civil Rights by @VanRijmenam via @Datafloq

The Digital Speaker and his great conversation with Dan Turchin on how to use AI in an ethical and responsible manner and why AI = Math + Data.

This was a great video of the conversation between them and really a must watch even if you are not interested in AI as a subject on its own.

How Can Artificial Intelligence Improve Health Care? by Emily Newton via @Datafloq

Artificial intelligence (AI) benefits numerous industries by providing insights that would take too long or may otherwise be impossible to get through other methods. That additional information is crucial in the health care sector, where professionals regularly make critical decisions while diagnosing a patient, treating their ailments or helping them manage chronic symptoms. Here are some fascinating ways that applying AI in health care brings benefits to everyone involved.

It's always great to remember some of the good things that AI does amid all of the hysteria or hype. This technology could do with more positive stories showing how it has improved our world or our health.

Kedro: The Best Python Framework for Data Science!! by Josue Luzardo Gebrim via @Medium

Kedro: Python Framework for data sciences!

I liked this and all the code snippets. It certainly introduced me to something I was not familiar with and it gives me something to investigate further.

WEBINAR: AI & Automation for Document Processing in Healthcare - 7 April 2021

 

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APRIL 7 | 11 AM PT | 2 PM ET Healthcare is a document-intensive industry that generates piles of hard-to-handle unstructured records, making it difficult for organizations to achieve operational excellence and streamline business processes. Join us to strategize on choosing the right document processing solution for your business. Agenda: Healthcare document types and use cases IDP framework: building blocks for document processing solutions The document processing market landscape Methodology for solution evaluation: comparing apples to apples During the webinar, we will offer management and engineering perspectives on document processing with AI, to help you explore available options. Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases. RESERVE YOUR SEAT Can’t make it to the webinar? Register anyway to receive the recorded session.

Unit Testing in Deep Learning by @msminhas93 via @TDataScience

In this article, Manpreet talks about unit tests and why as well as how to incorporate these in your code. He will start with a brief introduction of unit tests, followed by an example of unit tests in deep learning and how to run these both via command line and VS Code test explorer.

I really enjoyed reading this and it helps you understand why deep learning might be new but it is not exempt from the need to use unit testing on it before you put it live just like any other piece of code.

How AI (not automation) will revolutionize commercial trucking by @gcnichs via @ZDNet

Beset with labour shortages and the whims of markets and new technologies, truckers are getting a boost from digital brains.

This sounds like a great use for AI but if you read about this you can also see how your own business could use the same technology for something else.

AI Regulation: No Longer a Distant Future by Natalia Modjeska via @TDataScience

How the Biden administration will change the AI playing field, and what you should be doing now.

I agree with Natalia - if you do some due diligence now and prove that your AI is ethical and does not include anything hidden from what users or customers are told then you have already taken the right steps.