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Interview: Dr. Bhushan Desam, Director, Global AI Business at Lenovo

I recently caught up with Dr. Bhushan Desam, AI global business leader for Lenovo’s Data Center Group to discuss how the digital transformation of business isn’t truly possible without incorporating machine learning. Digital transformation is underway. As the C-suite demands better insights from data, enterprises will be tasked to make data-driven decisions based on those insights.

Hortonworks Data Platform 3.0 Enables Containerization and Deep Learning Workloads

Hortonworks, Inc.® (NASDAQ: HDP), a leading provider of global data management solutions, today announced Hortonworks Data Platform (HDP) 3.0, which delivers significant new enterprise features including containerization for faster and easier deployment of applications, and increased developer productivity. The new version of HDP enables customers to more quickly, reliably and securely get value from their data at scale to drive business transformation.

Interview: Ashley Kramer, VP Product Management at Alteryx

I recently caught up with Ashley Kramer, VP Product Management for Alteryx during the company’s Inspire 2018 conference in Anaheim, California, to get an update on her company’s direction. Alteryx is a leader in self-service data analytics, one of the fastest growing software markets.

Interview: Dr. Roger Brooks, Chief Scientist at Guavus

I recently caught up with Dr. Roger Brooks, Chief Scientist at Guavus, to get some insights into how his company is positioned in the marketplace in terms of solutions based on AI and machine learning. Guavus is a big data analytics company developing apps that allow companies to embed data driven-decisions into agile businesses processes.

Databricks Conquers AI Dilemma with Unified Analytics

Databricks, a leader in unified analytics and founded by the original creators of Apache Spark™, addresses this AI dilemma with the Unified Analytics Platform. The company launched new capabilities to lower the barrier for enterprises to innovate with AI. These new capabilities unify data and AI teams and technologies: MLflow for developing an end-to-end machine learning workflow, Databricks Runtime for ML to simplify distributed machine learning; and Databricks Delta for data reliability and performance at scale.

Interview: Stephen Goldberg, CEO of HarperDB

I recently caught up with Stephen Goldberg, CEO of HarperDB, to discuss how his company was founded to deliver a simple solution that could be used by any developer of any skill level without sacrificing scale or performance. He also comments on how the HarperDB database solution is being used for IoT project development, app development and enterprise data warehouses. Founded in 2017 and headquartered in Denver, HarperDB’s founding team has spent many years working in enterprise architecture, software integration, software development, and software sales.

Interview: Tammy Bilitzky, CIO of DCL

I recently caught up with Tammy Bilitzky, CIO of DCL, to do a deep dive into how her company utilizes state-of-the-art technologies like machine learning, AI, deep learning and NLP to make DCL’s products competitive. Tammy is responsible for managing DCL’s technology department, continuing its focus on resilient, high-quality, and innovative products, while helping to grow the organization.

Apache Spark 2.0: A Deep Dive Into Structured Streaming

In this talk, Tathagata Das takes a deep dive into the concepts and the API and show how this simplifies building complex “Continuous Applications”. Tathagata is an Apache Spark Committer and a member of the PMC. He’s the lead developer behind Spark Streaming, and is currently employed at Databricks.

Big Data Humor: What IT Really Thinks About GDPR!

In light of today’s compliance deadline for General Data Protection Regulation (GDPR), our friends over at cloud strategy company Evolve IP provided this humorous quip about what IT really thinks!

Interview: Rishi Grover, Chief Solutions Architect at Vena Solutions

I recently caught up with Rishi Grover, Chief Solutions Architect at Vena Solutions, to examine the way analytics technologies are helping corporate finance teams move from traditional, manual ways of analyzing their numbers to a more automated, data-driven role in driving company-wide decisions.