THE JOURNEY TO OPEN DATA SCIENCE

| November 17, 2016

article image
Migrating from traditional analytics to modern Open Data Science is one of the most important trends of the decade. However, although this migration is critical to the core mission of many enterprises, practicing Data Science effectively has remained a thorny challenge. Part of this is due to the use of older proprietary data technologies that do not provide the flexibility and power needed to channel the full potential of a Data Science team — not just Data Scientists and Developers, but business experts and other stakeholders. These proprietary technologies are not innovative, transparent or community supported, and they typically cannot quickly adapt to changes as projects develop.

Spotlight

Qualys

Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of cloud-based security and compliance solutions with over 10,300 customers in more than 130 countries, including a majority of each of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and consolidate their security and compliance solutions in a single platform and build security into digital transformation initiatives for greater agility, better business outcomes and substantial cost savings.

OTHER ARTICLES

DEEP THOMAS EMBEDDING DATA-DRIVEN CULTURE ACROSS BUSINESS WITH CUTTING EDGE INNOVATION

Article | February 24, 2020

A US$ 48.3 billion-corporation, the Aditya Birla Group is in the league of Fortune 500. Anchored by an extraordinary force of over 120,000 employees belonging to 42 nationalities, the Group is built on a strong foundation of stakeholder value creation. With over 7 decades of responsible business practices, Aditya Birla Group’s businesses have grown into global powerhouses in a wide range of sectors metals, chemicals, pulp & fibre, textiles, carbon black, cement and telecom. Today, over 50% of its revenues flow from overseas operations that span 36 countries in North and South America, Africa and Asia.The Group Data ‘n’ Analytics Cell (GDNA) is the Big Data and Analytics arm of the Aditya Birla Group created at its centre to strategize and partner with 18+ Group businesses across B2B and B2C domains to deliver on its strategic priorities through the power of AI. The company represents strong analytics and domain expertise drawn from the best-in-class talent from leading global and Indian businesses that leverage cutting edge tools and advanced AI algorithms built on a highly scalable and robust big data infrastructure to mine and act upon petabytes of structured and unstructured data.

Read More

Deep Dive Digital-First Banks Harness The Power Of Data Analytics

Article | April 2, 2020

Data analytics has many purposes in the banking industry, ranging from improving cybersecurity to reducing customer churn. Every interaction from ATM withdrawals to loan applications — provides FIs with valuable data about customers’ financial lifestyles. Banks can even harness external regulatory, trading and social media engagement data, all of which can be processed and analyzed to benefit their operations.Financial data is useful in helping banks develop wide-reaching marketing campaigns, but social data is critical to developing offers for specific customers. Santa Rosa, California-based Redwood Credit Union, for example, found that social data was particularly important when offering auto loans. It initially extended preapproval for such loans every two years based solely on members’ credit scores and vehicle purchase histories, but it soon discovered that there was a much more reliable indicator and updated its preapproval frequency accordingly.

Read More

Predictive Analytics: Enabling Businesses Achieve Accurate Data Prediction using AI

Article | July 13, 2021

We are living in the age of Big Data, and data has become the heart and the most valuable asset for businesses across industry verticals. In the hyper-competitive market that exists today, data acts as a major contributor to achieving business intelligence and brand equity. Thus, effective data management is the key to accelerating the success of businesses. For effective data management to take place, organizations must ensure that the data that is used is accurate and reliable. With the advent of AI, businesses can now leverage machine learning to predict outcomes using historical data. This is called predictive analytics. With predictive analytics, organizations can predict anything from customer turnover to forecasting equipment maintenance. Moreover, the data that is acquired through predictive analytics is of high quality and very accurate. Let us take a look at how AI enables accurate data prediction and helps businesses to equip themselves for the digital future.

Read More

Automotive DevOps Rules of the Road Ahead

Article | March 13, 2020

DevOps will provide over-the-air (OTA), seamless software updates which would allow important and immediate updates without affecting the car’s capabilities through Liquid Software liquid software. OTA updates will enable automakers to fix engine and automotive malfunctions, as well as implement safety standards directly into the program. Tesla is one of the pioneers of over-the-air updates but while its’ cars are off. In total, Tesla’s updates are usually about 30 minutes. Since 2012, hundreds of OTA updates have been sent out by the company to adjust things like speed limit settings, acceleration, battery issues, and even braking distance. Most car manufacturers are behind when it comes to over-the-air software updates.

Read More

Spotlight

Qualys

Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of cloud-based security and compliance solutions with over 10,300 customers in more than 130 countries, including a majority of each of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and consolidate their security and compliance solutions in a single platform and build security into digital transformation initiatives for greater agility, better business outcomes and substantial cost savings.

Events