Birst BI
DECEMBER 18, 2018
According to Gartner, more than 3,000 CIOs ranked Business Intelligence (BI) and Analytics as the top differentiating technology for their organizations. If BI and Analytics is such a game-changer, then why is the average adoption rate in organizations only 32%? On Jan 29, Birst will introduce Smart Analytics powered by Coleman AI.
Birst BI
AUGUST 23, 2018
However, there are simply not enough data scientists in the world to deliver on the AI potential. Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. The Outsourcing of Data Science Functions.
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The Product Coalition
DECEMBER 5, 2019
Why does management need to observe data-science-related KPIs? Observability for data-science (DS) is a new and emerging field, which is sometimes mentioned in tandem with MLOps or AIOps. New offerings are being developed by young startups to address the lack of monitoring and alerts for everything data-science.
Amplitude
JANUARY 29, 2021
For Amplitude, that meant diving deep into our customers’ challenges, and innovating across all aspects of our platform to become the complete, best-in-class solution for product analytics. . In 2020, we made major investments in core analytics, reimagined our data governance tools, and laid the foundation for personalization at scale.
ProductPlan
FEBRUARY 15, 2022
Meanwhile, smaller companies need more tactical support around managing data, tools, and communications. Where does the product operations domain intersect with data? A strong product operations worker must know the product well, which demands deep curiosity and insight. Getting familiar with data is key to success.
Amplitude
JULY 11, 2019
If we’re being honest, it is very difficult to create a culture that values data. I frequently see leadership teams purchase analytics software hoping that this new access will make everyone excited to use data regularly. Teams need to use data to make better decisions. Integrate Data into your Everyday Language.
ProductPlan
JULY 9, 2021
What Is a Data Product Manager? A data product manager (PM) focuses on product data management, which is the process of collecting, organizing, storing, and sharing data within an organization. . How Does a Data Product Manager Differ from a Traditional PM? To a data PM, data is the product. .
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