What is Scalability in Cloud Computing

What is Scalability in Cloud Computing

Watch the webinar here.

Managing the ever-increasing speed with which your organization generates and utilizes data is key to success. For most enterprises, the use of their big data is intimately tied to digital transformation (DT) initiatives. Adopting the necessary technologies to keep up with an enterprise data flow is a must to stay competitive.

With this business reality in mind, some questions arise: What will be big data’s role in the future for business? How will IT adapt and grow? And how will this growth affect IT Ops and developer processes today?

We sat down with some industry leadersAhmed Kamran Imadi, Big Data Solutions Engineering at a Fortune 100 Financial Institution; Mark Kidwell, Chief Data Architect at Autodesk; and Satish Nekkalapudi, Sr. Manager at Magnite—to discuss these questions.

In our webinar, these experts shed light on the role of big data in business today, the skill-sets needed to keep up with the growth of big data, and how digital transformation has affected the role of big data in their organizations.

How Digital Transformation Affects the Role of Big Data

When asked about how enterprise digital transformation affects big data, Kidwell said he believes it was key to unlocking a slew of behavioral insights.

“One of the key things digital transformation meant for analytics, or data processing teams, was that the products were always online, always available to the company’s customers and users… And with that came this flood of data—usage data or behavioral data—followed by this huge demand to process that data and derive insights from it.”

Since then, companies have been using unlocked behavioral insights to drive business processes, such as marketing and other common analytics use cases.

“They’re using these insights to drive analytics of product behavior or performance, crash reporting, other insights, and basically predicting things that the customers didn’t know about the products (or the way they’re using the products).”

What is Digital Transformation?

Techtarget defines digital transformation as a process that “involves the incorporation of current technologies into the products, processes, and strategies of an organization in order to better compete in a digital economy.”

DT requires the examination of an organization’s change capability, as well as the reinvention of their technology, data, and process, to keep up with changing customer demand. Companies formulate a digital transformation strategy that will help them reposition their enterprise step by step to be more competitive in our current business landscape.

Digital Transformation Leading to Business Transformation

For Nekkalapudi and his work at Magnite, enterprise digital transformation has enabled a lot of optimizations on their platform.

“We were able to reduce the bidding, understand the bidding patterns, and reduce our bidding per instance. This enabled us to power up our ad engine clusters, which enabled the whole amount of data that passes through our ad bidding platform.

We jumped from tens of billions of requests to hundreds of billions of requests with a minimal set of changes—completely powered by our data science team.”

Magnite’s reporting and analytics platform also help them slice and dice data for their customers within seconds, compared to other partners that take hours.

“We’ve also improved transparency in the whole process by providing log-level data access, and enabling our brand production team to identify any malicious actors and cut them off as early as possible.”

Hear More about Enterprise Digital Transformation

This is merely the beginning of the discussion between these industry experts. In the full webinar, the attendees continue to talk about:

  • The relationship between big data growth and business growth;
  • How big data is changing IT Ops, and how operations and development teams are adapting;
  • The evolution of company culture in a changing landscape;
  • …and much more.

Find out what the future holds for big data, and how organizations should evolve with it.