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Description:

The true test of any software is whether it increases or decreases the productivity of its users. In best cases, human-computer symbiosis results not only in better human decision-making but in positive feedback loops that make the computer side of the system stronger as well over time.

Search-based interfaces for data analytics provide a familiar way for people to quickly find, aggregate, and analyze the data they need. At the same time, they can also improve the capacities of the computer, as users discover and define new identities, objects, and relationships, and the machine in turn understands what is more important to the user.

A well-designed search solution maps users' ontologies to the properties of the data, giving expected and useful results. It returns results instantly to allow for iterative questioning from the user, and scales to any size of data with the end goal of answering any question the user has. This is a radical departure from the traditional creator/consumer model in today's dashboard-driven business intelligence environments.

In this webcast, you'll learn how to:

• Get beyond the create vs. consume dichotomy, by giving all users a familiar tool to interact with their data.
• Define useful filters and parameters for an internal search-driven analytics interface.
• Govern your data centrally but democratize access to all through search-driven analytics

About Ari Gesher, Senior Engineer — Palantir Technologies

Ari Gesher is a senior engineer and Engineering Ambassador at Palantir Technologies.

At Palantir Technologies, Ari has split his time between working as a backend engineer on Palantir's analysis platform, thinking and writing about Palantir's vision for human-driven information data systems, and moonlighting on Palantir's Philanthropic engineering team. His current role involves understanding and discussing Palantir's role in the world of analytics, big data, and the future of technology.

An alumnus of the University of Illinois computer science department, Ari has worked in the software industry for the past fifteen years, including a stint as the lead engineer for the SourceForge.net open source software archive.

About Anand Raghavan, Director, Product Marketing — ThoughtSpot

Anand Raghavan is the director of product marketing at ThoughtSpot, a search-based business intelligence startup. Anand loves the excitement of working with world-class teams to build and market game changing products. Prior to ThoughtSpot, he was a founding team member and product manager at Blue Jeans Network, helping to grow it from four employees to 200+ employees and 2,000+ customers. Before that, he held several engineering roles, including six years at NVIDIA Corp.

Anand has a B.Tech. in electrical engineering from the Indian Institute of Technology Madras, an M.S. in electrical and computer engineering from the University of Illinois at Urbana-Champaign and an MBA from the Wharton School at the University of Pennsylvania, where he graduated with honors and was named a Palmer Scholar.