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The AI continuum

CIO Business Intelligence

Great for: Extracting meaning from unstructured data like network traffic, video & speech. Downsides: Lower accuracy; the source of dumb chatbots; not suited for unstructured data. It provides smart applications for translation, speech-to-text, cybersecurity monitoring and automation. Learn more.

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11 dark secrets of data management

CIO Business Intelligence

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

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Adoption of Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

But the sheer volume of data might cloud manual judgments and here is where automation and digitization could help. Insurers are leveraging the benefits of advanced data science skills at several stages of Sales & Underwriting in a digital environment. Increased Role of automation and AI in Sales & Underwriting.

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Introducing Cloudera Enterprise 6.0

Cloudera

Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g. How do I enable self-service for my rapidly growing data science teams? How do I get to the next level in the data-driven journey fast enough? connected cars, cities, wearables, phones, etc.).

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The DataOps Vendor Landscape, 2021

DataKitchen

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

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Five Common Pitfalls on the Path to Becoming a Data-Driven Enterprise

Cloudera

However, many organizations have data silos, for instance when each department’s data is historically stored in disparate locations. Additionally, structured and unstructured data is often separate. By eliminating data silos, your data insights enable smarter and more accurate business decisions.

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7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Data warehouses are designed for questions you already know you want to ask about your data, again and again. Datamarts in Power BI.

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