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The AI Revolution Is Here – A Podcast And Interview With Nate Yohannes

Artificial Intelligence (AI) is the catalyst for the fourth industrial revolution, the most significant technological advancement thus far. AI has the potential to solve incredible challenges for all of humanity, including climate change, education, design, customer experiences, governance, and food. That said, among the biggest concerns regarding AI is the potential for unexpected and unintended consequences in building and deploying AI products.

According to Nate Yohannes, Principal Program Manager for Mixed Reality and AI Engineering at Microsoft, having appropriate representation at decision-making tables when building AI products is critical to help prevent these unfortunate scenarios. From his perspective, representation will go a long way toward preventing the unexpected consequences of AI products, and it will also guarantee that the products that are created will have the widest consumer base possible: everyone.

Listen to this podcast for an inspiring conversation about how to make the possible a reality by approaching AI with a new mindset that takes into consideration its full potential for improving the lives of everyone.

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2 Types of Artificial Intelligence

Bring the future into your business today with AI. Explore two types: Pre-Built and Custom Built. Pre-Built AI has cognitive services – deep learning cognitive capabilities ready to use (vision, speech, knowledge, translation, etc.), whereas Custom Built AI uses machine learning capabilities to analyze data to build and an artificial neural network to address specific problems not covered by Cognitive Services.

View: 2 Types of Artificial Intelligence

3 reasons to modernize your data estate ​

Organizations that modernize their data estate can reap major benefits, including enhanced security and compliance, significant cost savings, and the ability to empower employees via business insights and advanced analytics capabilities. Organizations that don’t, on the other hand, risk putting themselves behind the curve by missing out on game-changing cost benefits, leaving their businesses open to potential vulnerabilities, and by not taking advantage of modern analytics capabilities.

Read this infographic to learn how businesses are taking advantage of the latest technologies by modernizing their datasets to create transformational benefits throughout their organizations, and discover how they’re doing so by leveraging Microsoft Azure.

View: 3 reasons to modernize your data estate ​

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9 tips for meeting with Microsoft Teams

Microsoft Teams enables you to host and participate in more productive meetings and invite anyone to join you. This makes Teams a perfect solution where you can communicate and meet with anyone inside or outside your organization – even if they are not a Teams user. This blog offers 9 tips to having more productive meetings with attendees in and outside your organization.

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Don’t miss another post! Subscribe now.

Not so long ago, the drawbacks of storing databases in the cloud were so great that most businesses gave it little thought. Today, the benefits far outweigh the shortcomings, with an incredible array of additional services and solutions now available that provide organizations with unparalleled efficiency and growth potential. Not only is the price-to-performance ratio of cloud software much better than that of on-site servers, but an array of additional services and solutions can also now be integrated in cloud applications.

Subscribe now to learn more about how cloud migration can provide you organization with the scalability and flexibility it needs to support its digital transformation roadmap, as well as how you can reap the benefits of industry-leading capabilities by using Microsoft Azure.

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Future Generali uses Microsoft AI to Deepen Customer Engagements


Future Generali India Life Insurance Co. Ltd. adopted the use of REVA, a chatbot built on the Microsoft Bot Framework, which plays a key role in driving insightful conversations with its customers. In this video, see how the company has already seen an increase in the customer satisfaction rate by 91%, which won them the Microsoft and CNBC TV18 #AIForAll award for leveraging AI for enhancing customer engagement.

Ciacci Piccolomini d’Aragona winery creates a perfect blend of tradition and technology with Microsoft Teams

Microsoft Teams provides virtual solutions in response to an unexpected crisis.

For three generations, the Bianchini family has been creating exceptional wines on their idyllic estate, maintaining the traditions of a historic estate while staying one step ahead of the latest developments in the world of wine. With the recent COVID-19 pandemic and trade shows postponed and international travel impossible, everything changed. The Ciacci winery responded by turning to Microsoft Teams. To keep the business thriving, they moved quickly to replace in-person gatherings with virtual wine tastings using Teams meetings. Family members also used Teams to work together and connect with partners and suppliers, making the adjustment a perfect balance of tradition and technology.

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ANU: Collaborative research and data sharing


Data-sharing is an immense enabler of scientific advancements. When researchers choose to make their data publicly available, they are allowing their work to contribute far beyond the original findings. Making research data more accessible also fosters transparency and trust in their work, enables other researchers to reproduce and validate their findings, and ultimately, contributes to the pace of scientific discovery by allowing others to reuse and build on top of the data. Fortunately, cloud technology has made it easier than ever to share data across major research institutions. Empowered by tools that include Microsoft Azure, researchers are relying more and more on digital collaboration and open source software to drive scientific breakthroughs.

Watch this video to learn how researchers at Australian National University (ANU) are using Azure to build on each other’s findings and avoid a siloed approach to data that leads to slower research pipelines.

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