Azure for Executives

Transcript In this episode, Howard Bush talks with us about enabling real-time transactions instead of the customary batch transactions that financial institutions use today. The discussion also covers the problem of providing real-time transactions and recommends a set of tools to help you get going faster in your organization's digital transformation. SHOW LINKS Useful tools and services in planning and performing your migration to Azure. Industry Experiences Team home page Azure AppSource Azure Database Migration Service API Management Azure Marketplace Azure Migration Center Banking in capital markets (blog post) Cloud-based API Management: Harnessing the Power of APIs  Security Center Site Recovery V2 Auth API Howard Bush Howard Bush is a Principle Industry Lead for Azure for Banking and Capital Markets at Microsoft. He advocates for Microsoft Azure within the banking and capital markets industry. Howard works with customers to help them understand how cloud computing addresses the unique and changing needs of the industry. Howard describes himself as “a banker wrapped in IT clothing.”  Follow Howard on LinkedIn or Twitter. David Starr In addition to being the host of this podcast, David is a Principal Cloud Solutions architect at Microsoft, focusing on healthcare. He loves creating with code and with large systems supporting scale. He enjoys all aspects of developing, delivering and operating software systems. He is also passionate about the end-to-end process, methods and techniques, and the patterns and practices of high performing software development teams, using skills that transcend specific technology stacks.  Follow David on LinkedIn or Twitter

Transcript Today we are talking about blockchain as a service and how it can be leveraged in manufacturing. With very real use cases and stories of success, we'll see how blockchain is affecting manufacturing in various ways today. Joel Neidig Joel is the Director of Research & Development for ITAMCO and is the CEO of SIMBA Chain and Blockchain as a Service Platform that runs on Microsoft Azure. Follow Joel on LinkedIn. Diego Tamburini Diego is the Principal Industry Lead for Azure Manufacturing in the Microsoft Industry Experience team, where he focuses on developing technical content to help manufacturing companies and software developers deliver their solutions on Azure, at scale. He also champions partners who deliver manufacturing solutions using Azure. Follow Diego on LinkedIn or Twitter.

Transcript This episode introduces containers for AI cognitive services. There are some industries today limited in what they can do with AI. This is because all of the AI services that we've built are running in the cloud, because of regulatory reasons, sensitivity reasons or other reasons (data governance or performance) they're not able to actually call those services in the cloud. Containers from Cognitive Services opens a whole new world of possibilities enabling customers to take advantage of the AI right in their own control, in their own context, within their own network. Basically on their own terms and in their own control. Container support in Azure Cognitive Services allows developers to use the same rich APIs that are available in Azure, and enables flexibility in where to deploy and host the services that come with Docker containers. Container support is currently available in preview for a subset of Azure Cognitive Services, including parts of Computer Vision, Face, Text Analytics, and Language Understanding (LUIS). Show Notes Getting started with Azure Cognitive Services in containers Bringing AI to the edge Container support in Azure Cognitive Services Phani Mutyalais Phani Mutyalais is a Senior Program Manager with the Applied AI team at Microsoft. He focuses on running container strategy and execution for Cognitive Services. Phani has deep experience in building and running large scale platforms on public clouds and more recently with container platforms. He is super passionate about Cloud, Containers, Machine Learning and AI technologies and is a continuous learner. David Starr In addition to being the host of this podcast, David is a Principal Cloud Solutions architect at Microsoft, focusing on healthcare. He loves creating with code and with large systems supporting scale. He enjoys all aspects of developing, delivering and operating software systems. He is also passionate about the end-to-end process, methods and techniques, and the patterns and practices of high performing software development teams, using skills that transcend specific technology stacks.  Find David on LinkedIn | or Twitter

Transcript Jess Panni takes us through using Azure for two real-world machine learning scenarios in his projects for customers. Jess shares insights learned from machine learning projects and the use of Machine Learning Studio to get actionable insights from the data produced. Finally, he also ties machine learning iterations to agile software development and proposes that data science and agile teams can indeed co-exist. Topics covered include the following. ML Studio Data Factory Power BI Jess Panni Jess has over 20 years’ experience helping companies succeed through the smart use of technology. He has spent most of his career working for leading Microsoft partners across the UK and Australia and is now Principal at endjin, At endjin, he works with clients to help them transform into modern, data-driven, cloud-first organizations.

Transcript David Houlding, a Microsoft Principal Healthcare Program Manager, discusses topics such as Blockchain, Artificial Intelligence, Machine Learning all within the context of healthcare. He also explains Microsoft's commitment to the health industry. David Houlding David is a Principal Healthcare Program Manager at Microsoft. He has 24+ years of experience in healthcare, cloud, privacy, security, compliance, blockchain, and artificial intelligence/machine learning. Responsibilities include cloud, privacy, security, compliance, blockchain, AI/ML thought leadership in the healthcare industry globally. He supports the healthcare industry by embracing the power of the cloud to provide better care for patients. From hospitals and insurers to pharmaceuticals and researchers, David links the industry to Microsoft technology to empower the healthcare industry and anticipate the healthcare needs of the future. Follow David on LinkedIn and Twitter.

Transcript Manufacturing expert Diego Taburini discusses emerging and transformative technologies in manufacturing. Diego Taburini Diego is the Principal Industry Lead for Azure Manufacturing in the Microsoft Industry Experience team, where he focuses on developing technical content to help manufacturing companies and software developers deliver their solutions on Azure, at scale. He also champions partners who deliver manufacturing solutions using Azure. Follow Diego on LinkedIn or Twitter.

Transcript This IoT episode ranges from oil and gas to Rasberry Pi, real-time streaming analytics and even Design Thinking. Sameer Kalwani joins us to talk all things IoT including the cultural changes data-informed decision making has on organizations. Sameer Kalwani A passion for infrastructure inspired Sameer to found Element, where he oversees product strategy, design, and marketing. Previously, he was CTO & Head of Product at Piramal Sarvajal, an innovative water utility with distributed water treatment plants. His patented solutions reduced Sarvajal’s O&M costs by >60% and consumer water price by 60x. His products have been recognized with Frost & Sullivan's Enabling Technology Award of the Year and as FastCo’s Top 10 Most Innovative Products. Earlier, Sameer consulted on IT M&A at Deloitte, managed product at Apcera, finance at Goldman Sachs, and manufacturing at Visteon. Sameer holds a BS in Electrical Engineering and BS in Cognitive Psychology from University of Illinois, Urbana-Champaign, and an MBA from Harvard Business School. He and his wife Ashi enjoy exploring regional cuisines. Find Element on the web and follow them on LinkedIn. Follow Sameer on LinkedIn and Twitter. Diego Tamburini Diego is the Principal Industry Lead for Azure Manufacturing in the Microsoft Industry Experience team, where he focuses on developing technical content to help manufacturing companies and software developers deliver their solutions on Azure, at scale. He also champions partners who deliver manufacturing solutions using Azure. Follow Diego on LinkedIn and Twitter.

Transcript Product availability is a key ingredient to ensuring a great service experience. With consumers’ expectations of the ability to purchase products when, where and how they choose, both retailers and consumer goods companies must modernize their approach to managing and maximizing inventory to ensure shelves are fully stocked with the right balance of SKUs desired by consumers. In this episode, I am joined by 3 retail and consumer goods technology experts who talk with us today about how the retail and customer goods industry is using technology and transforming the way these industries are doing business. In this episode we cover: The business and technologies of retailers and consumer goods Solutions created from that technology How Microsoft Azure helped our Neal Analytics build a solution for their customers Show Links Explore the Retail and consumer goods use case: Inventory optimization through SKU assortment + machine learning Try out the Neal Analytics SKU Assortment Optimization solution Follow Neal Analytics on LinkedIn and Twitter. Greg Gomez Greg is VP of Alliances and Industry Strategy at Neal Analytics, a Seattle-based consulting firm and Microsoft partner that helps companies drive digital transformation through the application of machine learning and AI. Follow Greg on LinkedIn. David McClellan David is the Director of Portfolio and Strategy at Neal Analytics, who defines and builds the business solutions like SKU Max. Follow David on LinkedIn. Mariya Zorotovich Mariya is a WW Industry Leader, Retail and Consumer Goods. She has more than 20 years of experience in retail leading strategies and initiatives across sales, operations, human resources, public relations, technology and product management. Read Mariya's recent blog posts on how to address common retail and consumer goods use cases using Azure. Follow Mariya on Twitter and LinkedIn.

Transcript Nick Leimer from Microsoft brings us an astounding view into the digital transformation occurring inside the insurance industry. Thanks to cloud computing, machine learning, artificial intelligence, advanced analytics capabilities and other transformative technologies, insurance companies can more accurately model risk, customize pricing and better meet the needs of a transforming marketplace and customers who want more from their insurers. "InsurTech" organizations are using these and other technologies, marrying to the cloud to provide new and better services to their customers. Nick touches on IoT, AI, bot technologies, and real-time analytics. Show Links Explore how to address common insurance use cases using Azure. Nick Leimer Nick Leimer is the Principal Insurance Industry Lead for Azure. Nick brings 20+ years of experience bridging the business and IT gap in application development, operations, and infrastructure. Before joining Microsoft, Mr. Leimer was the Senior Director for Actuarial Compute at Manulife leading the migration of LAN based HPC Farms to the Azure environment for all of Asia; including all desktop Moody’s / GGY Axis users and data feeds. Prior to Manulife, his career progressed through developing applications for Actuarial Valuation and Projection including components of ArcVal and Prophet, the Defined Benefit area with the Pension Benefit Guarantee Corporation (BPGC), and leading life insurers, AIG and Manulife.  Read Nick's recent blog posts on how to address common insurance use cases using Azure. Follow Nick on LinkedIn or Twitter (@LeimerNick).

In this episode of the podcast, we visit with Hari Menon and Diego Tamburini about the intersection of IoT and artificial intelligence. Hari's company, Symphony Industrial AI, provides packaged AI enabled software solutions that optimize equipment and process performance for large industrial customers. These solutions use large volumes of real-time and batch data from equipment and processes in real time and apply AI/ML algorithms to predict failures and anomalies as well as optimize performance.Show LinksDownload the Extracting actionable insights from IoT use case guide.Read how you can leverage Azure to build predictive maintenance solutions.Explore Azure IoTVisit Symphony Industrial AI to learn more about their servicesHari MenonAs CEO, Hari is responsible for product and market strategy for Symphony industrial AI.Hari was most recently the CEO of a venture-backed Supply Chain SaaS company called Serus which was acquired by E2Open (NASDAQ: EOPN). Hari’s entrepreneurial experience includes co-founding and leading Tumri, a venture financed advertising software company that was acquired by Collective Media as well as co-founding two other software startups, Accordia (acquired by Bristlecone Inc.) and SixthDimension (acquired by Comverge Nasdaq: COMV). Prior to his startup experience, Hari spent 10 years in enterprise software and consulting companies including Aspect Development (i2 Technologies), Accenture and Consilium.Hari holds an MBA from Carnegie Mellon University and an M.S. in industrial engineering and operations research from Oklahoma State University.Diego TamburiniDiego Tamburini the Principal Industry Lead for Azure Manufacturing in the Microsoft Industry Experience team, where he focuses on developing technical assets to help manufacturing companies and software developers deliver their manufacturing solutions on Azure, at scale.He also champions partners who deliver manufacturing solutions using Azure.Read Diego's recent blog posts on how to address common manufacturing use cases using Azure.Follow Diego on LinkedIn and Twitter.