NeuroBlade is on a mission to empower the next wave of digital transformation by developing the new standard for analytics acceleration for large data. It’s increasingly complex, expensive, and time-consuming for organizations to analyze large data volumes. As a result, business and technology leaders cannot rely on price performance when querying and analyzing hundreds of terabytes of data. This creates an analysis gap where less than two-thirds of the data is analyzed.
In this special guest feature, Peggy Pranschke, VP Global Business Analytics with Vista, discusses how the barriers to success for women working as data scientist can be overcome. As the amount of data increases and the demand for specialists grows, ensuring diversity within data teams should be a priority. Diversified staff can bring different perspectives, creativity, and unbiased problem-solving to the discipline.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.