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Senzing’s Software for Real-Time AI for Entity Resolution to Fight Financial Crime

Senzing, a new artificial intelligence-based (AI) software company, announced its Senzing software product to address the $14.37 billion financial fraud market. Senzing is an IBM spinout that has reinvented entity resolution, which senses who is who in real time across multiple big data sources.

Apache Pulsar 2.0 Brings Enterprise-Class Scale, Speed and Functionality to Streaming Data Processing

Streamlio, the intelligent platform for fast data, announced availability of Apache Pulsar 2.0, a significant new release of the streaming messaging solution at the core of the Streamlio platform. Building on the proven Apache Pulsar foundation, this release adds new capabilities to Apache Pulsar that support easy development and deployment of modern data-driven applications.

Big Data and the Psychologist’s Role on the Analytical Team

Now that the role of the data scientist has become essential in the workplace, more roles in data analytics are opening up in large companies—including jobs for psychologists. The infographic below from our friends over at the University of Southern California Dornsife shows us why psychologists can have such a powerful role in leveraging big data effectively.

Big Data in Financial Services

In this special guest feature, David Friend, co-founder & CEO of Wasabi Technologies, takes a look at the big data and cloud storage technology stack as it relates to the finance industry. The financial services industry is highly competitive, with products fighting for the smallest differentiation to make an impact in the market. Big data and the cloud serve to provide important competitive advantage to this important industry.

WhereScape Announces WhereScape® Migration Express™ for Snowflake

WhereScape, a leading provider of data infrastructure automation software, announced the availability of WhereScape® Migration Express™ for Snowflake. This new offering enables organizations to simply, rapidly and efficiently migrate existing data warehouses, data vaults and data marts from legacy data platforms to Snowflake – the data warehouse built for the cloud.

CDO – The New Seat in the C-Suite

More and more enterprises have named a CDO – Chief Data Officer – to lead the effort to protect data and turn it into an asset. CDO positions have more than quadrupled over the last four years. Our friends over at Semarchy have prepared the compelling infographic below to formalize the role of the CDO.

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.

Living On the Edge: Extracting Ultimate Value from Your IoT Data

In this contributed article, Jerry Baulier, Vice President of IOT R&D at SAS describes IoT and streaming analytics and the potential lifesaving benefits from that real-time data. Streaming data allows you to assemble meaning from IoT data when you need it, both in real time and historically to identify trends in cross-sensor analysis. By processing data on the edge, organizations, individuals and communities are benefiting from the insights offered by real-time data.

“Above the Trend Line” – Your Industry Rumor Central for 6/11/2018

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Increasing Analytic Project Success

In this special guest feature, Erik Ottem, Director of Product Marketing, Data Center Systems at Western Digital, discusses how to build a better data lake, equipped with elements such as scaling measures, object storage adapters and ultimately enough performance to handle large analytic workloads.