Cindy Adem is a Product Manager at Instil Education and she’s from Nairobi, Kenya.She started as a lawyer, and even though it was not the top choice of interest for her, she however did claim that she enjoyed having a 360-degree view of any event and preparing for the twists and turns along the way.Cindy narrates her experience of how she had to “disappoint” her parents, who expected her to be a lawyer to pursue what was in line with her passion.Although Cindy doesn’t attribute a moment to be her “aha” moment to transition into tech, she remarked that she has always been driven by the need and passion to be impactful.The way she does the impact has changed over the years, she still retains the same drive of doing things that matter in the world.She’s currently on a team that is trying to build a virtual learning institution for teachers and students across Africa.
I’m known in tech for Java development, software testing, and public speaking. So you may be wondering what brings me to Block‘s decentralized finance division as Vice President of Developer Relations. Oooh, I’m so glad you asked! Let me share some fun, little known facts…
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Advances in machine learning and artificial intelligence have sparked interest from governments that would like to use these tools for predictive policing to deter crime. Early efforts at crime prediction have been controversial, however, because they do not account for systemic biases in police enforcement and its complex relationship with crime and society. Scientists have developed a new algorithm that forecasts crime by learning patterns in time and geographic locations from public data on violent and property crimes. The model can predict future crimes one week in advance with about 90% accuracy.
In this special guest feature, David Kolinek, Vice President of Product, Ataccama, asks why data quality is so important? Sometimes taking a step back and reviewing the basics can help clear things up. DQ is not a single activity but a series of actions that draw upon multiple resources and functions, all focused on making data usable in a purposeful way. It falls under data management, which has an overriding mission of delivering a view of datasets from various perspectives, enabling the type and quality level of data to be assessed.