Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Starting with the end in mind: Lessons learned from data strategies that work

Vidya Raman (Cloudera)
12:0512:45 Thursday, 2 May 2019
Secondary topics:  AI and machine learning in the enterprise
Average rating: ****.
(4.62, 8 ratings)

Who is this presentation for?

  • Executives (CEOs, CSOs, CDOs, etc.) and vice presidents and directors of data science and analytics

Level

Intermediate

What you'll learn

  • Understand the importance of having long-term business goals that drive data-driven innovations
  • Discover how to determine whether the existing culture is the right one for executing on the vision and if not, come up with a plan to change it
  • Learn how to ensure that the innovation process and infrastructure choices are in alignment with budgetary expectations, business realities, and the cultural mindset

Description

Every single public company is under pressure from the board, CEO, and senior leadership to become more data driven and agile. This inevitably leads to “answers” such as the cloud, analytics, machine learning/AI, and the corresponding adoption of tools in those spaces. Some of these initiatives are more successful than others, where success is measured by business impact within a certain reasonable time horizon.

The greatest success is achieved in organizations that not only start with end in mind but remain true to it every step along the journey. For example, companies that want to fundamentally change how drug discovery is being approached need to start with a blueprint for a new R&D strategy before procuring tools. Similarly, companies that want to embrace advanced ML/AI need to ensure that the right datasets are available for use.

Equally important is the organization structure, skillset, and reporting structure that can aid or hinder innovation. Cloudera has the benefit of working with customers from a variety of industry verticals spanning healthcare, banking and financial services, governments, retail, manufacturing, and autonomous driving companies, to name just a few.

Vidya Raman explains how some very successful organizations have adapted their culture, process, and infrastructure to herald a new age of data-driven innovations.

Photo of Vidya Raman

Vidya Raman

Cloudera

Vidya Raman leads product management for machine learning at Cloudera. Previously, she helped build highly successful software portfolios in several industry verticals, including telecom, healthcare, energy, and the IoT. Her experience spans early-stage startups, pre-IPO companies, and big enterprises. Vidya holds a masters in business administration from Duke University.

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Comments

ivar Sørheim | ANALYST TECHNOLOGY MANAGMENT|
16/05/2019 10:39 BST

Hi,

I really enjoyed your presentation.

Would it be possible to upload your slides?

Best,
Ivar