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6 trends framing the state of AI and ML

O'Reilly on Data

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. Although TensorFlow grew by just 3%, it, too, garnered 22% share of AI/ML usage in 2019.

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Cloudera on Cloudera: Our Journey to Becoming more Data-driven

Cloudera

I’ve spent the last four years here at Cloudera talking with our customers about how to run their businesses better using their data and Cloudera’s products and services. Now I get to put my money where my mouth is – and turn my focus internally on how we at Cloudera can become more data-driven. The first is visibility.

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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. We also lacked a data buffer, risking potential data loss during outages. V6 also lacked scalability.

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IT to thank for most of Radisson Hotel Group’s business initiatives

CIO Business Intelligence

Then in March, the pandemic hit and hotel activity stopped, but it gave us the chance to accelerate the company’s transformation and digitalization process that started in 2018 with a five-year plan. We were clear that IT — both from the point of view of applications and infrastructure — security, and data, were in the company’s DNA.

IT 107
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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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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250
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Context-Driven Natural Language Processing (NLP) Beats ‘Dumb’ NLP Every Time!

Smarten

To answer this question, we first need to understand the difference between standard natural language processing in analytics (AKA Dumb NLP) and context-driven searching using natural language processing (AKA Intuitive NLP). Context-driven natural language processing allows people to think and communicate like people – not like machines!