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6 trends framing the state of AI and ML

O'Reilly on Data

Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. PyTorch looks like a contender: it posted triple-digit growth in usage share rates in both 2018 and 2019. For example, the chatbots topic continues to decline, first by 17% in 2018 and by 34% in 2019.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

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Using Building Analytics to Mitigate the Costs of Construction Mistakes

Smart Data Collective

Construction analytics is a new field that was worth just over $5 billion in 2018. Why is the construction analytics market growing at such a fast pace? However, the biggest benefit of construction analytics is that it can help alleviate the costs of building development mistakes. billion by 2026. Improve Documentation.

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Automated Sales Forecasting with Predictive Analytics Making AI Real (Part 4)

Jedox

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

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Shopping with Fraud Protection and Adaptive Artificial Intelligence

CIO Business Intelligence

That wasn’t a fluke either, as the 2019 numbers were four times higher than 2018. AI and HPC are key to gathering valuable data, generating analytics, and dynamically adapting algorithms that identify fraud as quickly as possible anywhere at any time. Intel® Technologies Move Analytics Forward.

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Data privacy perceived as the biggest obstacle to deploying security analytics solutions

BI-Survey

Thanks to the commoditization of big data technologies previously affordable only to the largest corporations, any company can now collect, store and analyze large amounts of unstructured information in real time. Biggest challenges for big data security analytics solutions (n=293).

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Customer Data Culture: The Innovators Have Already Reinvented Themselves

Alation

After 116 years in business, legendary guitar maker Gibson filed for bankruptcy in 2018. At the beginning of last year, GoDaddy’s CEO Scott Wagner said in their earning’s call, “2018 is off to an exceptionally strong start, with first quarter revenue up 29%. Pfizer is using a Data Catalog to lead a transformation in healthcare.