Many people ask the question, which is right for my company, on-premise or cloud modern data warehouse? In a recent webinar, David Hay, teaches you what you should look at to make the best decision for your organization between cloud vs on-premise modern data warehouse, as well as what the implementation process entails to stay within time and budget.
One of the challenges with Power BI is that there are so many ways it can be used and so many nuances that the platform may seem overwhelming to some. In this post, I’d like to share some mainstream, as well as specialized use cases.
In some past blogs I’ve discussed Azure Data Box and how the Data Box family has expanded. Today I’ll talk about Azure Data Box Edge (in preview) and elaborate on the machine learning service that it provides in your premises with the power of Azure behind it.
Welcome back to Azure Every Day! We took a break in January to regroup, refresh and get some new writers involved in our Azure Every Day series. We’re back with more great content every weekday all about Azure, with tips, up to date info, use cases and more.
This first post is about retirement planning – an interesting topic these days. At this point, the state of financial planning is a potential major crisis with current and future generations coming upon retirement age with little or no savings to account for.
In the digital world we live in today, it’s getting harder to verify identity in industries such as banking. We now do less and less transactions in person. No longer do we go into banks with passbook in hand and make deposits or withdrawals face to face with a bank teller. Many of us have moved from ATM transactions to digital banking.
Are you looking to move to a modern Data Estate? If so, we’re sure Microsoft Azure has been part of the conversation. In a recent webinar, hosted by Ramnik Gulati, Microsoft’s Director of Product Marketing in Cloud, Data and AI and Principal Program Manager on the Data Platform Team, Kevin Farlee, they discussed more about Microsoft’s differentiated approach to shaping the Data Estate conversation with customers including:
Are you running a hybrid environment between on-premises and Azure? Do you want to be? In a recent webinar, Sr. Principal Architect, Chris Seferlis, answered the question: How can my organization begin using hybrid cloud today? In this webinar, he defines the four key pillars of true hybrid development, identity, security, data platform and development, and shows actionable resources to help get you started down the hybrid road.
In this recent group of posts, my focus is on different APIs available with Azure Cognitive Services. With Azure Cognitive Services you can infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication, so you can easily add the power of machine learning and bring advanced intelligence into your product.
With Artificial Intelligence and Machine Learning, the possibilities for your applications are endless. Would you like to be able to infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication, all without having any data science expertise?