Systems | Development | Analytics | API | Testing

May 2022

Technology Spotlight - Tailored Support Designed for You

Cloudera’s Long Term Support (LTS) model is here, and in this video, Chief Product Officer Sudhir Menon gives us the run down. Cloudera LTS gives organizations confidence in moving to the next stable version of the Cloudera Data Platform, while maintaining security and performance. With the new LTS release model, Cloudera is committed to supporting our customers large and small—both on-prem and in the cloud—in the most secure, performant, and risk free way possible.
cloudera

Becoming AI-First: How to Get There

Deciding to adopt an AI-first strategy is the easy part. Figuring out how to implement it takes a little more effort. It requires a clear-eyed vision built around well-defined goals and a realistic execution plan. Being AI-first means setting up your organization for the future. By leveraging data, analytics, and automation, a company can gain a better understanding of where it is and where it needs to go.

The Best Time to Kickstart your Data Strategy is Now

Organizations with data strategies in play for more than a year found that those strategies were more successful and more effective. Cindy Maike, VP of Industry Solutions and Value Management explains how kickstarting your data strategy now will help your business meet unforeseen challenges to the industry.
cloudera

Winning With Data in the Fight Against Fraud, Waste, and Abuse

Fraud, waste, and abuse (FWA) in government is a constant, multi-billion dollar issue that challenges agency leaders at all levels and across all sectors, from healthcare to education to taxation to Social Security. The scope and scale of public spending—federal outlays alone were approximately $6.6 trillion in fiscal year 2020 according to the Congressional Budget Office—make FWA an inherently difficult problem to solve.

cloudera

AI-First Benefits: 5 Real-World Outcomes

Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction.