Analyst Profile

Peter Krensky

Sr Research Analyst

1 year at Gartner , 4 years industry experience
Boston, MA USA

Roles and Responsibilities

Peter Krensky is a Senior Research Analyst on the Business Analytics and Data Science team, specializing in advanced analytics and data science, including machine learning and predictive and prescriptive analytics.

Areas of Coverage

Business Intelligence

Peter Krensky's Recent Gartner Activity

Latest Research

Cool Vendors in Data Science and Machine Learning, 2017
11-May-2017
Magic Quadrant for Data Science Platforms
14-Feb-2017
Machine-Learning and Data Science Solutions: Build, Buy or Outsource?
30-Nov-2016

On-Demand & Upcoming Webinars

Machine Learning/AI: Hard Facts, Conclusions and Actions
15 May 2017

Background

Previous Experience

Prior to joining Gartner, Mr. Krensky was a research analyst with Aberdeen Group. There he covered a broad spectrum of business intelligence topics, including advanced analytics, data discovery, self-service data preparation, sales and marketing analytics, data governance, and Hadoop. Before his time as an analyst, he spent a year living in Sao Paulo, Brazil, where he worked as an operations assistant for a reinsurance broker.

Professional Background

Aberdeen Group, Research Analyst, 4 years
Miller do Brasil, Operations Assistant, 1 year

Education

B.A., cum laude, History, Amherst College

Languages

English
Portuguese

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24 May 2017
The Gartner Supply Chain Top 25 for 2017 This research unveils the 13th annual global Supply Chain Top 25, identifying supply chain leaders and highlighting their best practices for heads of supply chain and strategy organizations.
22 May 2017
Retail Supply Chainnovators 2017: Argos Wins for Delivering Rapid, Convenient Fulfilment to Consumers Gartner's Supply Chainnovators program recognizes unconventional, innovative and high-impact initiatives that retailers use to transform their supply chain. Supply chain leaders can leverage the insights from this year's winner, Argos, to further innovation in their own supply chain.

31 May 2017
Bimodal: Raising Everyone's Game for Digital Business EDT: 9:00 a.m. | PDT: 6:00 a.m. | GMT: 13:00 Bimodal is a key capability that enables enterprises to deliver and scale digital strategies. We look at what bimodal is, and what it is not, what the organization needs to do to scale it, and the emerging effective practices.
31 May 2017
Demystifying the Journey From RPA to AI and Everything in Between EDT: 11:00 a.m. | PDT: 8:00 a.m. | GMT: 15:00 Gartner's framework for explaining intelligent automation services encompasses a large spectrum of disruptive technologies (i.e. robotic process automation [RPA], runbook automation, cognitive and artificial intelligence) that will give rise to the most tectonic shifts in the sourcing role since offshore. Back in 1999, the big disruption was the use of offshore to create labor arbitrage.