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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). Know thy data: understand what it is (formats, types, sampling, who, what, when, where, why), encourage the use of data across the enterprise, and enrich your datasets with searchable (semantic and content-based) metadata (labels, annotations, tags).

Strategy 290
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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

using high-dimensional data feature space to disambiguate events that seem to be similar, but are not). Another example of a sentinel is a marked increase in the volatility of stock market prices, indicating that there may be a lot of FUD (fear, uncertainty, and doubt) in the market that could lead to wild swings or downturns.

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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. ” For example, these tools may offer metadata-based notifications. Complaints from dissatisfied customers and apathetic data providers only add to the mounting stress.

Testing 169
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Adapting to Change: Finding Opportunity in Crucible Moments

Alation

Uncertainty reigns These days, planning a dinner out can be as complicated as planning a global business acquisition. But recognizing the opportunity in uncertainty is what separates the winners from the pack. Silicon Valley VC firm Sequoia Capital agrees, pointing to all the uncertainty and change in the world as proof.

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Surviving Radical Disruption with Data Intelligence

erwin

By leveraging the power of the cloud, harnessing data from the Internet of Things (IoT) and other events, and processing this data in near-real time, analytics helps to effectively process the relentless incoming data feed. And that’s where data analytics can play a huge role.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. It also represents part of the current focus for Project Jupyter : adding support for collaboration, enhanced security, projects as top-level entities, data registry, metadata management, and telemetry about usage.