Can businesses trust decisions that artificial intelligence and machine learning are churning out in increasingly larger numbers? Those decisions need more checks and balances -- IT leaders and professionals have to ensure that AI is as fair, unbiased, and as accurate as possible. This means more training and greater investments in data platforms. A new survey of IT executives conducted by ZDNet found that companies need more data engineers, data scientists, and developers to deliver on these goals. The survey confirmed that AI and ML initiatives are front and center at most enterprises.

Can businesses trust decisions that artificial intelligence and machine learning are churning out in increasingly larger numbers? Those decisions need more checks and balances -- IT leaders and professionals have to ensure that AI is as fair, unbiased, and as accurate as possible. This means more training and greater investments in data platforms. A new survey of IT executives conducted by ZDNet found that companies need more data engineers, data scientists, and developers to deliver on these goals. The survey confirmed that AI and ML initiatives are front and center at most enterprises.

I listened carefully to Yann Fleureau's speech during the DATADRIVENPARIS event about his 4 past years as a Co-Founder and CEO of CardioLogs and his journey towards building and selling an AI-based Clinical Decision Support System (CDSS) for Clinicians in the Cardiology space. CardioLogs is a Paris-based Startup building Deep-Learning Algorithms for ECG (EKG) analysis. They have raised approximately 10M$ to date and have won approval for commercialization in Europe of the first medical grade deep-learning technology in 2016 and the second in the US in 2017. Yann is a graduate from the prestigious Polytechnic School of Paris (X) and passionate about New Technology & Medicine (https://cardiologs.com/). The last 4 years of CardioLogs illustrate well the challenges of implementing an AI-based solution in clinical practice.

Washington, DC, February 27, 2018 – InSite, a leading business intelligence solution that enables better operational, financial, and environmental performance, is pleased to welcome Brian Snow as a strategic advisor, assisting the executive leadership team on technology strategy and growth. Brian is a General Partner in Impala Ventures, a venture capital and advisory firm focused on the disruptive commercial real estate technology sectors. Brian has written extensively on trends that are leading the digitization of facilities management and real estate and the advancements in artificial intelligence and machine learning. "Brian brings a wealth of industry knowledge and advisory experience, particularly in the digitization of facilities and real estate. We are excited to have him help us as we consider the rapidly developing market," said Davor Kapelina, InSite President and Founder.

Are you ready to put your organization on a path of continuous improvement using the most valuable decision support techniques? Check out Microsoft Senior Program Manager Christian Berg's timely series of essays on how to become your organization's strategic advisor using Machine Learning and Power BI, available on the Community Blog. Each post takes on a different aspect of business intelligence, and includes a how-to section to get you started creating customized solutions for your team. Most analysis in the posts is done using the R language, but Christian tries to keep any scripts generic enough that anyone can apply them to their own data even without prior hands-on R experience. The posts also share examples of how businesses use these techniques today to drive deeper insights and better outcomes across a variety of scenarios and industries.