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Our Favorite Questions

O'Reilly on Data

We do so out of genuine curiosity as well as professional necessity: Q is an ML/AI consultant, Chris is a product manager in the AI space, and Shane is an attorney. The opinions presented here are personal, do not reflect the view of our employers, and are not professional product, consulting, or legal advice. A lot of questions.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

In fact, healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general. We will then look at 18 big data examples in healthcare that already exist and that medical-based institutions can benefit from.

Big Data 364
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5 common consultant negotiation tactics and how to protect your interests

CIO Business Intelligence

To execute a successful digital transformation initiative, you are likely to establish consulting provider relationships. Unfortunately, many organizations find themselves susceptible to the tactics used by consultants to manage their risk and optimize a commercial arrangement to their benefit. This takes planning.

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The Business Case for DataOps

DataKitchen

Instead, these organizations commit 20% of their time implementing automation and writing tests. If it can be wrong, test it. Thirty-six percent of the total time of a ten-person team, based on a full-time employee (FTE) cost of $156,000 amounts to $561,000. Cost of Slow Decision Making. Insourcing Through DataOps.

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Application Development Consulting Helps Companies Get the Most of AI

Smart Data Collective

The market for AI is growing due to its obvious benefits. Many of them have utilized many management programs but finding the most best application without the assistance of an experienced consultant can be a challenge. Some new consulting agencies specialize in helping companies select the best applications.

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7 ways gen AI can create more work than it saves

CIO Business Intelligence

So for all its vaunted benefits to efficiency, gen AI doesn’t always reduce workloads. Woolley recommends that companies consolidate around the minimum number of tools they need to get things done, and have a sandbox process to test and evaluate new tools that don’t get in the way of people doing actual work.

IT 141
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Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

Automation provides a way to accomplish this without hiring expensive teams of consultants. DataOps eliminates bottlenecks and delays by putting everything related to analytics under the control of the internal data team and reducing the need for outside consultants. Multi-team, multi-vendor and multi-location collaboration.