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The New Breed: How to Think About Robots

You’ve heard the saying “if you do what you love, you’ll never work a day in your life,” right? Well, I hate to say it, but that’s me. I never dreamed that I would wind up in a field that combined all of my interests, but somehow that happened. Through my research at the MIT Media Lab I get to apply my legal and social sciences background to human-robot interaction. Which yes, does mean that I mostly get to play with robots all day.

New Snowflake Features Released in March 2022

In March, Snowflake continued to enhance its capabilities around data programmability and data pipeline development, with the Snowpark API and stored procedures for Java now in public preview, schema detection now generally available, and the Snowflake SQL API generally available. In addition, Snowflake’s user interface, Snowsight, is generally available. Not to mention an expanded selection of new partners to choose from in Snowflake Data Marketplace.

Get Your Retail Plan in Shape: A 7-Step Regimen for Year-Round Selling

Once upon a time, the retail calendar centered itself on the Christmas season. Now, the retail surge is year-round. Not just the wave of traditional seasonal holidays from Valentine’s Day to the 4th of July, but also newer sales holidays, such as Cyber Monday, or even holidays created by some gigantic companies themselves, like Amazon’s Prime Day. Now, instead of a steady pace leading up to a frenzied December, retailers are in sprint mode all the time.

MeDirect Bank: Thinking ahead for a seamless transition to the cloud

MeDirect Bank is a bank and financial services company based in Malta that provides services ranging from deposit accounts to mutual funds to wealth management. The company has evolved from its regional roots to become the third largest bank in Malta, with customers all over the world. And it’s done so by evolving with its customers’ needs; providing accessible, transparent services wherever customers are — physically or digitally.

Webinar Recap: Optimizing and Migrating Hadoop to Azure Databricks

The benefits of moving your on-prem Spark Hadoop environment to Databricks are undeniable. A recent Forrester Total Economic Impact (TEI) study reveals that deploying Databricks can pay for itself in less than six months, with a 417% ROI from cost savings and increased revenue & productivity over three years. But without the right methodology and tools, such modernization/migration can be a daunting task.

Top 3 Data and Analytics Trends to Prepare for in 2022

The past two years have seen significant disruption across sectors, markets and technology dynamics, forever changing the way businesses, workers, and customers use data. But while global conditions have created uncertainty, it’s also driven more opportunities for organizations to optimize processes to respond faster to evolving customer demands, competitor shifts, and new risks - leveraging new, innovative data solutions.

Estée Lauder: Transforming the retail experience during a pandemic

Change is something every business leader has to deal with. But in the past two years, doing business has just gotten weird and harder. In this video, Christal Bemont, Talend's CEO and David Malloy, Executive Director of the Estee Lauder Companies discuss how he used healthy data to fuel a dramatic business transformation of the major cosmetics retailer.

Commerzbank | Unleashing Hidden Data Treasures for Customers

Like many financial institutions, Commerzbank was challenged with staying flexible to meet customer needs, while also meeting regulatory compliance. In this Movers & Makers, Justyna Lebedyk, Product Owner in Big Data for Commerzbank, talks about how their digital transformation with the hybrid cloud and Cloudera allowed them to overcome this challenge.

Modernizing the Analytics Data Pipeline

Enterprises run on a steady flow of best-fit data analytics. Robust processes ensure these assets are always accurate, relevant, and fit for purpose. Increasingly, organizations are implementing these processes within structured development and operationalization “pipelines.” Typically, analytics data pipelines include data engineering functions such as extract-transform-load (ETL) and data science processes such as machine-learning model development.