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AI Adoption in the Enterprise 2021

O'Reilly on Data

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. The second-most significant barrier was the availability of quality data. Relatively few respondents are using version control for data and models. Respondents.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

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Reflections on the Data Science Platform Market

Domino Data Lab

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

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5 tips for excelling at self-service analytics

CIO Business Intelligence

Data-informed decision-making is a key attribute of the modern digital business. But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities.

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Generative AI in the Enterprise

O'Reilly on Data

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

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Build Up Your Performance With KPI Scorecards – Examples & Templates

datapine

Monitoring the business performance and tracking relevant insights in today’s digital age has empowered managers and c-level executives to obtain an invaluable volume of data that increases productivity and decreases costs. Let’s say you’re sitting on a meeting, presenting data to relevant stakeholders. What Is A KPI Scorecard?

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