IT Visionaries Data Lakes, Blockchain and Employee Experience with AWS Executive Rahul Pathak
Rahul Pathak’s experience in the tech industry dates back to the early days of the internet boom and he’s been riding the wave, monitoring trends ever since. The journey has allowed Rahul to be on the cutting edge of all kinds of new technology, including what he’s doing now with big data and block chain. Rahul currently serves as the GM of Big Data, Data Lakes, Blockchain at Amazon Web Services and on this episode of IT Visionaries, he discusses why those technologies are the future.
Key Takeaways:
- What the blockchain offers
- Who are the stakeholders utilizing these technologies
- A crash course in data lakes
Salesforce and MIT recently teamed up to create a whitepaper exploring what happens when AI meets CRM.
Read: AI Meets CRM: An MIT Tech Review Whitepaper
This podcast is sponsored by Salesforce. Did you know Salesforce isn't just for Sales? Using Salesforce as an Employee Experience Platform helps make every employee across your organization more productive thanks to a common, mobile-first platform for getting work done faster. Find out more at salesforce.com/EmployeeExperience
--
This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.
That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.
---
IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.