Streaming SQL for Real-Time Analytics

Streaming SQL for Real-Time Analytics

Streaming analytics is moving into the mainstream as more enterprises capitalize on the technology to gain greater efficiency, competitiveness, and profitability. Read more…

Can Blockchain Help ML and AI?

Can Blockchain Help ML and AI?

It can be difficult not to get caught up in the hype surrounding blockchain and cryptocurrencies, such as the notoriously volatile Bitcoin. Read more…

Why Security Pros Need To Think Like Data Gurus

Why Security Pros Need To Think Like Data Gurus

In the information security space, innovation is the name of the game. When your adversary ups her game, you must take steps to improve yours too. Read more…

Want to Win at AI? Aim High, But Start Small

Want to Win at AI? Aim High, But Start Small

Brand leaders are starting to recognize that they are no longer competing on the basis of products or services alone. Read more…

Datanami Headlines

Big Data Career Notes (June 2018)

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details. Read more…

BI Vendors Sliced and Diced on G2’s Grid

If you’re on the hunt for better business intelligence software – and really, who isn’t these days? – you likely are reading some analyst reports on the topic. But all too often, those reports don’t reflect the experiences of real-world users. Read more…

Anaconda: Data Science Exiting Hadoop for the Cloud

Data scientists are embracing cloud-native frameworks as they move on from on-premises data infrastructure previously dominated by Hadoop, concludes a survey on the state of data science.

The shift is driven in part by the enterprise transition from merely managing big data to using machine learning and other connected data tools to glean insights in real time, according to the data science survey released this week by Python platform specialist Anaconda Inc. Read more…

DataOps Hiring Surges Thanks to ML, Real-Time Streaming

Nearly three-quarters of companies plan to hire a data operations (DataOps) professional in 2018, according to a new survey commissioned by Nexla, which says investment and interest in machine learning, artificial intelligence, advanced and real-time analytics is driving the demand. Read more…

TigerGraph Offers Graph Database Test Drive

TigerGraph, the startup that emerged last fall with a new native parallel graph database, released a free “developer edition” this week with the goal of giving potential users a test drive and a means of comparing the graph analytics platform with competitors like Amazon Neptune and Neo4j. Read more…

Sumo Logic Broadens Reach Into Modern Machine Data

Sumo Logic today announced a range of new features in its cloud-based analytics platform that should improve its customers’ capability to glean operational and security insights from machine data emanating from modern applications.

Sumo Logic previously offered support for applications running in Docker containers and orchestrated using Kubernetes. Read more…

Drug Discovery Partnership Focuses on Deep Learning

Deep learning approaches continue to make inroads in medical applications such as drug discovery. Those AI applications are, in turn, creating partnerships among researchers seeking to accelerate medicinal breakthroughs.

The latest collaboration was reported on Monday (June 11) by Insilico Medicine, which announced a “strategic investment” by venture funding arm of China’s WuXi Aptec, the drug and medical devices developer. Read more…

Harvesting IoT Insights, from Edge to Core

The rapid proliferation of Internet-connected devices is fueling the on-going data explosion. The IoT boom is also exciting company leaders, who anticipate new business models generating trillions of dollars. However, most of the IoT data will not be used, which some experts say points to a need for heightened business clarity around the technology and tighter integration of end-to-end IoT solutions. Read more…

Apache Pulsar 2.0 Released

Apache Pulsar, the distributed “publish and subscribe” messaging platform released to the open source community by Yahoo nearly two years ago is generating streaming messaging capabilities aimed at enterprise data-driven applications.

The latest comes from Streamlio, developer of a real-time streaming analytics platform the also runs on top of Apache Heron, the real-time analytics system developed by Twitter (NYSE: Read more…

Why Data Scientists Should Consider Adding ‘IoT Expert’ to Their List of Skills

The work of a data scientist is never done — nor is the pursuit of personal growth and knowledge. Technology advances and evolves at alarming speeds, which means anyone working in the industry must remain informed if they want to be competitive. Read more…

How AI Boosts Human Expertise at Wolters Kluwer

On balance, there will be some jobs lost to artificial intelligence, and you can also expect AI to create other jobs. But at the global information services company Wolters Kluwer, AI is being infused into expert systems in a bid to augment lawyers, accountants, and other professionals with superior decision-making abilities. Read more…

App Developers Embedding More Analytics

Enterprise applications increasingly come with embedded analytics features such as data visualization tools that serve to differentiate products from each other while helping businesses hang on to customers while attracting new ones, according to a vendor study of the embedded analytics landscape. Read more…

Databricks Open Sources MLflow to Simplify Machine Learning Lifecycle

Databricks today unveiled MLflow, a new open source project that aims to provide some standardization to the complex processes that data scientists oversee during the course of building, testing, and deploying machine learning models.

“Everybody who has done machine learning knows that the machine learning development lifecycle is very complex,” Read more…


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