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Virtual CXO Roundtable Discussion On Building A Smarter, Faster Business With A Modern Data Strategy

Virtual CXO Roundtable Discussion On Building A Smarter, Faster Business With A Modern Data Strategy

  • Join an exclusive group of influential, forward-thinking business leaders and analytics heads at the CXO roundtable discussion on ‘Building a smarter, faster business with a modern data strategy,’ scheduled for September 22nd & October 7th, 2021.
Register For Virtual CXO Roundtable Discussion On Building A Smarter, Faster Business With A Modern Data Strategy

In this post-pandemic digital era, where data is the key driver of business growth, having a traditional data strategy can put companies behind the curve. Enterprises are currently dealing with a massive amount of real-time streaming data, including management tasks such as database provisioning, patching, configuration, or backups. Alongside the rising concern of data privacy, businesses need to connect their data lake, data warehouse, and all of the purpose-built data stores into a coherent system that is secure and well-governed. And that’s where modern data strategy provides the right mix of data lakes and purpose-built data stores.

A modern data strategy lets businesses break down data silos, empower their teams to run analytics and machine learning, and manage data with the proper security and data governance controls. 

That said, creating an effective data strategy is no small task — it requires building a scalable and robust data infrastructure and creating a data-driven mindset in the organisation. The process starts with moving data and workloads to the cloud, managing databases, building data-driven apps, analysing data and starting innovation with AI and ML.

To that end, Amazon Web Services (AWS), in association with Analytics India Magazine, is organising a virtual CXO roundtable discussion on ‘Building a smarter, faster business with a modern data strategy,’ scheduled for September 22nd & October 7th, 2021.

Join an exclusive group of influential, forward-thinking business leaders and analytics heads to understand the critical pain points in creating a modern data strategy and ways to address them in the current era.

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The roundtable session will be an excellent platform to hear from peers, colleagues & industry experts and engage in thought-provoking discussions. 

Don’t miss this opportunity to learn from the esteemed panellists.

Date: September 22nd & October 7th 2021

Time: 5:00 – 6:30 PM

The roundtable sessions will be helmed by Guru Bala, the Head of Solutions Architecture, AWS Specialized Services, Amazon Internet Services Private Limited (AISPL). A passionate technology leader, Guru, comes with over 20+ years of experience in the IT domain. He started his career as a developer in the telecom industry, building next-gen networks at Alcatel-Lucent. Further on, Guru worked in sales engineering and business development leadership roles in software companies like Sylantro Systems (now part of Cisco Systems ) and Jamcracker. He helped these organizations grow their customer base and market share in the Asia region. At Microsoft, he did multiple sales and technology leadership roles focused on helping customers adopt advanced services of Azure like Modern Apps, Big Data, AI/ML, IoT. Currently, at Amazon Internet Services (P) (L), he and his team are helping customers drive innovation and growth by leveraging AWS specialized services like Analytics, Purpose-built databases, AIML, autonomous compute, amongst others. In addition, Guru has a passion for mentor startups and helps early growth stage companies with technology vision and a roadmap aligned to business needs and growth.

Along with him, we will have IDC analyst Christopher Lee Marshall joining us for the first roundtable scheduled for 22nd September. Chris is an Associate Vice President for IDC Asia Pacific and has been responsible for the analytics, big data and artificial intelligence practice. Christopher’s core research coverage includes developing data analytics and machine learning competencies and their implications – the threats and opportunities facing organisations as they seek to augment and automate their knowledge-based work. Previously, Christopher was a senior executive in IBM Watson Financial Services, where he led their AI-enabled risk and analytics practice in Asia. Before joining IBM, he held senior business development and management roles in big data and analytics at KPMG, Oracle and UBS.

For our second roundtable, scheduled for 7th October, we will have IDC analyst Rishu Sharma. Rishu is an Associate Research Director for cloud and AI in India. She comes with over 13 years of experience in the fields of consulting, business research and project management, digital marketing, presales, and bid management in the IT industry, focusing on hardware, software, and IT services. She also leads the Future of Intelligence and the Future of Digital Infrastructure programs in India. She has been involved in advisory assignments for IT vendors in the areas of strategy, strategic marketing, and end-user insights across technologies and industry verticals. Additionally, she advises tech buyers (CIOs and lines of business) in their business planning to make informed, viable, and sustainable strategic decisions on cloud and AI. Before joining IDC, she worked for Hewlett Packard Enterprise as a senior consultant for the marketing and strategy teams. She also worked with organisations such as BT in the past.

Date: September 22nd & October 7th 2021

Time: 5:00 – 6:30 PM

Key Discussion Points

The Roundtable discussion will cover the following topics:

  • How to choose database technologies when designing applications?
  • Challenges associated with transforming database technologies.
  • Ways to unify your data and accelerate insights.
  • Key obstacles in leveraging data to solve business problems.
  • How to innovate with AI/ML & understand the entry barriers for AI in your enterprise.

Who Should Attend

  • CIOs, CTOs, Chief Data Officers and IT Decision Makers
  • Heads of analytics, data science and business intelligence (enterprise or consumer-focused)
  • Data science & analytics professionals 

Date: September 22nd & October 7th 2021

Time: 5:00 – 6:30 PM

Agenda

5:00 – 5:05 PM: Welcome address by AIM 

5:05 – 5:20 PM: Address/Presentation by AWS

5:20 – 6:20 PM: Roundtable discussion with panellists

6:20 – 6:25 PM: Audience Q&A

6:25 – 6:30 PM: Vote of thanks by AIM

What Do You Think?

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