Speaker

Kamal Maheshwari

Kamal Maheshwari

Build Trust in Data

Boulder, Colorado, United States

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In my many years in data space, from Oracle to Cloudera to Acceldata, I have realized that much has changed in data landscape except one thing. People still don't trust their data. This is a multi-dimensional problem requiring data discovery, governance, and observability.
I'm passionately building a solution for this problem at Decube, the first unified data trust platform.

Area of Expertise

  • Information & Communications Technology
  • Real Estate & Architecture

Topics

  • Data Management
  • Data Engineering
  • Data Analytics
  • All things data
  • Data Platform

Data Strategy, Quality, and Trust Walk Into a Bar…

Ever wonder what happens when data strategy, quality, and trust meet up for a drink? (Spoiler: It’s not a data disaster!) Join us for a lively fireside chat where we'll dive into how these three friends — data strategy, quality, and trust — join forces to whip your data initiatives into shape. Whether you’re trying to prevent your next AI project from turning into a horror story or just tired of data surprises, this chat will reveal how this trio can help you avoid a hangover and serve up a formula for success. Drinks optional, insights mandatory.

If an AI predicts you'll commit a crime, what would your Data say?

Everyone is talking about AI these days. They expect trustworthy output from their AI. But, do you know what is more crucial than the AI outcome? What causes AI to hallucinate? How do you ensure trustworthy outcomes from AI?

DAMA RMC - https://www.damarmc.org/event-6053353

Future of Work: The Human Edge in this AI Moment

The rapid integration of artificial intelligence into the workplace is not only reshaping roles but also redefining the collaboration between humans and machines. This panel, "Future of Work: The Human Edge in this AI Moment," will delve into how AI is augmenting human capabilities and transforming industries, and what this means for the workforce of the future.

Panel experts will discuss the evolving landscape where AI tools enhance human decision-making and creativity, rather than replace it. The discussion will cover key areas such as the impact of AI on job creation and displacement, the necessary skills that future workers will need to thrive alongside AI, and the importance of human intuition and emotional intelligence in an AI-dominated workplace.

Additionally, the panel will explore how organizations can foster a culture that embraces AI innovations while also strengthening the human skills that AI cannot replicate. This includes leadership in times of technological change, strategies for lifelong learning and upskilling, and the ethical dimensions of AI at work.

This session is crucial for business leaders, HR professionals, and workers alike, offering insights into maximizing the human edge in a landscape increasingly influenced by artificial intelligence.

Panelist on Mini Jam LIVE, Q1 2025: From AI Architecture to the Application Layer

Data Strategy, Quality, and Trust Walk Into a Bar…

Ever wonder what happens when data strategy, quality, and trust meet up for a drink? (Spoiler: It’s not a data disaster!) Join us for a lively fireside chat where we'll dive into how these three friends — data strategy, quality, and trust — join forces to whip your data initiatives into shape. Whether you’re trying to prevent your next AI, ML, data science or advanced analytics project from turning into a horror story or just tired of data surprises, this chat will reveal how this trio can help you avoid a hangover and serve up a formula for success. Drinks optional, insights mandatory.

Key Takeaways:

* Clear understanding of the relationship between data strategy, data quality and data trust
* Solutions for the biggest challenges in maintaining data quality in today's high data volume and velocity environments
* How data professionals can effectively communicate the importance of data strategy, quality and trust to non-technical leadership and stakeholders
* What emerging trends organizations should be preparing for
* The first 3 steps an organization should implement when starting to build out its data capabilities

Denver Startup Week

2025 Data Governance & Information Quality (DGIQ) West + Enterprise Data World (EDW) Conference

Kamal Maheshwari

Build Trust in Data

Boulder, Colorado, United States

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