In part 4 of this series, I explore what’s next for AI. Artificial intelligence has been utilized in many ways and areas and is still breaking into new frontiers. Listen in as I share thoughts on new areas for AI and what to expect in the future.And, be sure to check out part 1, part 2, and part 3 of this series. Additional sources:More on DNA storage: https://news.microsoft.com/innovation-stories/hello-data-dna-storage/More on Gartner DNA predictions: https://siliconangle.com/2020/10/21/gartners-predictions-dna-storage-expanding-cio-roles/ More on AI helping to fight cancer: https://scienceblog.cancerresearchuk.org/2020/04/01/new-blood-test-study-uses-artificial-intelligence-to-identify-cancer-but-its-not-ready-for-patients-yet/ 

2021 promises to be an important inflection point for AI policy. In this piece by Brookings Institute, learn about 6 developments in governance aimed toward more principled use of AI – including the new National AI Initiative office, the European Commission’s Digital Services Act, and more.

In part 1 of this series, I share my thoughts on the growth and proliferation of Artificial Intelligence (AI). AI is being used in many industries, such as marketing to service, and is being used to learn about things and learn about us humans, even learn failure. What does the future hold for AI?Additional sources:Wired source: https://www.wired.com/story/new-artificial-intelligence-mistakes-purpose-chess/  Fortune Business Insights source: https://www.fortunebusinessinsights.com/industry-reports/artificial-intelligence-market-100114 Towards Data Science source: https://towardsdatascience.com/democratization-of-ai-de155f0616b5 

Interesting article but beware distracting, flickering ads! Machine learning that can explore the world can solve different problems – here’s an intro to the Microsoft services that make it something mainstream developers can use.

Learn about the low code AI capabilities in the Power Platform using AI Builder. We will explore different AI Builder models & features with demos, real world scenarios, demos, best practices and much more. ​

GNC Holdings Inc. – a global specialty retailer of health and wellness products – is making big digital strides. In this case study, learn about how GNC is leveraging personalization AI solutions and E-commerce investments to strengthen the customer experience.

We will explore different AI Builder models & features with demos, real world scenarios, demos, best practices and much more. 

Edge computing is not just something to keep at the edge of your digital transformation conversation. The combination of AI and IoT can be powerful in the transportation, HVAC, and manufacturing industries. What does this mean for you? Start with small, non-critical apps to get a handle on the details and pros/cons. This will help you down the road on larger, critical needs.

Would you be OK with paying for “last year’s medicine at last year’s prices”?

Who knew? Read on to find out, as i did that “… a good understanding of data science and machine learning requires some hands-on experience with algorithms. In this regard, a very valuable and often-overlooked tool is Microsoft Excel.”

Join us on 1.28.21 from 11am EST to 2pm EST for a Digital Acceleration “Binge” where we pack days of digital transformation perspective and insights into a few hours! Reserve your free “virtual” seat today and experience everything that DAC has to offer! You will be able to chat while the event is going, connect with our sponsors to view live demos, have discover calls, as questions and more–all for free and all built for the community! Tap here to get started!

A new AI tool is shedding light on how recruitment prejudices influence ethnic and gender pay gaps.

The FDA’s plan was developed to address a new area of “Software as a Medical Device” (SaaMD). SaaMD is the convergence of things that many wouldn’t have considered just a few years ago. It will be interesting to see where AI/ML in healthcare will go in the next 5 years.

Fortunately, for some classification tasks, you don’t need to label all your training examples. Instead, you can use semi-supervised learning, a machine learning technique that can automate the data-labeling process with a bit of help.

If you want to find out why everyone is talking about Artificial Intelligence, how it can be applied to the world of ERP and Finance, and what can be achieved with the standard functionality in Microsoft Dynamics 365 Business Central, this session is for you! We will demonstrate how to setup and use Late payment prediction and Sales and Inventory Forecast functionalities so your company can set out on the road to getting intelligent insights right now with a minimal investment.

Artificial Intelligence is no longer just sci-fi, it is now a reality and a true differentiator in the efficiency and profitability of your company. Microsoft is leading the charge by making AI commonplace and even embedding it as standard functionality inside the Finance functions of Business Central. You’ll see real examples of out-of-the-box AI-supported processes, and we’ll discuss how you can use readily available AI services to improve your decision making capabilities.

Increase sales and improve decision making with AI-powered insights fueled by customer data. Dynamics 365 Customer Insights • Gain a 360-degree view of customers and discover insights that drive personalized customer experiences. Dynamics 365 Customer Service Insights • Leverage AI-driven insights to make better decisions and proactively improve customer satisfaction with confidence. ​​

In this article by Tech News World, we learn about Robotics and Artificial Intelligence, two areas which have accelerated rapidly in 2020 and what we can expect in 2021.

Artificial Intelligence has come a long since it’s early inception. Many advances have been since then that have defined how AI is used and understood. AI is still in it’s infancy but will continue to grow in use and democratization.

As a senior executive or CIO, how can you assure yourself that artificial intelligence (AI) or machine learning (ML)-derived recommendations are reasonable and flow logically from the project work that has been performed?

While you want to be supportive and encouraging of your team’s work, you don’t want to be misled inadvertently and you want to confirm that the data science team hasn’t misled itself.