Remove terms-use
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Over 500 mobile apps are now using the term ‘metaverse’ to attract new users

TechCrunch

According to new data shared today by Sensor Tower , there are now 552 mobile apps that include the term “metaverse” in their apps’ titles or descriptions, in hopes of capturing consumer interest in this next evolution of the web. And many of the new additions were added in just the past few months, the firm notes.

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Energy Dome uses CO2 for long-term power storage for solar energy

TechCrunch

Longer-term energy storage is a drag, and a lot of battery tech has been focusing on “how quickly can we charge these batteries so I can drive my EV for another couple of hundred miles.” Built using commodity components, the company claims that its CO 2 battery achieves a 75%-80% round-trip efficiency.

Energy 248
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Mapping Medical Terms to MedDRA Ontology Using Healthcare NLP

John Snow Labs

MedDRA is a clinically-validated international medical terminology used by regulatory authorities and the regulated biopharmaceutical industry. The terminology is used through the entire regulatory process, from pre-marketing to post-marketing, and for data entry, retrieval, evaluation, and presentation.

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Healthcare’s Digital Back Door: One Term, Two Meanings and How (or Whether) to Use It

Perficient

The term “digital back door” is harder to define than its forward-facing counterpart. And misunderstandings around this term could lead to far-reaching consequences for your HCO. People are used to the way they receive services and goods in the digital age. But we do recommend changing the terminology you use.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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5 DevOps Terms That We All Use, Yet No One Can Define

DevOps.com

The reason is because many of the key terms related to DevOps lack clear and precise definitions. Search Google for “DevOps terms,” and […]. The post 5 DevOps Terms That We All Use, Yet No One Can Define appeared first on DevOps.com. Sometimes, however, I have a hard time talking about DevOps.

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How to get your CFO to buy into a better model for IT funding

CIO

Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. The persistent teams used a benefits delivery roadmap, which outlined the SMART benefits to be delivered throughout the year. How does persistent funding reduce risk?

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The Problem with Product Market Fit (and What to Use Instead)

Speaker: Daniel Elizalde - Product Executive and Advisor

There is a big problem with the term "product market fit." Unfortunately, most B2B companies go through the innovation journey using abstract terms and intangible metrics, such as “trying to reach product market fit.” Ask ten people to define PMF and you’ll get ten different answers.

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The 7 Ways to Source and Attract Diverse Technology Talent

In this guide, we provide seven strategies organizations can use to source and attract diverse tech talent. Download this guide to learn: Short and long term strategies to source diverse talent. How to put DEI front and center throughout the process. Tips to cast a wider net and boost DEI in the tech world.

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Predictive Analytics 101: Your Roadmap to Driving Key Product Decisions

Speaker: Sriram Parthasarathy

You'll learn: The definitions of common industry terms including predictive analytics, advanced analytics, and more. How predictive analytics and business intelligence can be used together to drive smarter business decisions. We’ll explore real-world examples of predictive in action and outline steps to help you maximize its value.

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Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

This webinar will discuss what’s at stake if companies continue to use long term architecture plans. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve. Join Dr. Rebecca Parsons, CTO at ThoughtWorks, as she presents: How to build evolvable solutions.

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The Evolution of the Data Team: Lessons Learned From Growing a Team From 3 to 20

Speaker: Mindy Chen, Director of Decision Science, Hudl

What you plan your data team structure to look like initially may not turn out to be the most effective long term. Using the specific case of Hudl to explore the stages of evolution within the data team and what factors contributed to that evolution. There is no denying that growing a data team has its challenges.