The business intelligence (BI) landscape is changing. Traditionally, BI analysts used dashboarding and analytics tools like Microsoft Excel, Microsoft Power BI and Tableau. However, analytics tools are rapidly evolving, and BI analysts are expected to evolve alongside industry advancements. In particular, predictive analytics used to be in the domain of more technical employees, but today, no-code automated machine learning (AutoML) tools mean anyone can deploy AI.
The most obvious way that artificial intelligence (AI) can impact retailers is to help consumers choose the right products when they shop. But there’s another less apparent way that AI is affecting retail right now that’s happening in places consumers don’t see. New AI technology from a company called Pactum is a very good example of how retail is changing from the inside out.
Data privacy and cybersecurity issues continue to be top of mind, as this week the U.S. Senate unanimously passed the Internet of Things (“IoT”) Cybersecurity Improvement Act (H.R. 1668), introduced by Congresswoman Robin Kelly (D-Illinois). In September, the House had passed the bill by voice vote after negotiation sessions with the Senate. The legislation provides for the establishment of minimum cybersecurity standards for government purchased, internet connected devices, with anticipated impact on manufacturers in the private sector.
Earlier this summer, there was a New York Times story about the challenges healthcare officials face, including a memorable anecdote about how a fax machine spilled hundreds of pages of faxed Covid-19 test results all over the floor of a Texas public health department office. It effectively illustrated a critical larger point: Healthcare providers are drowning in paper.
In the wake of the economic downturn brought on by the Covid-19 pandemic, investments in digital business transformation have accelerated. The applications that drive those processes are not only highly distributed, they also operate at a level of scale that no IT team can manage using legacy approaches to managing IT. It can take weeks to discover the root cause of any issue.
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