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webinara overview
Procurement and Supply Chain

Webinar: The HFS Super Machine Learning Debate

webinar description

The last two years witnessed machine learning (ML) offerings and applications progress, particularly in the enterprise context. However, many practitioners are hard-pressed to move beyond project-focused work to create robust ML practices. In this webinar, experts from HFS, Infinia ML, Genpact, and Mars Inc. will discuss the evolution of ML as an enterprise AI capability, the challenges it poses, and solutions for ML development. We'll answer how organizations can prepare for ML, get past their data swamps," and move away from science experiments to deliver business impact with ML.

Reasons to attend the webinar
  • How have enterprises progressed in creating ML capabilities?

  • What are the pitfalls to avoid when starting out?

  • What are the key contributors to “industrializing” ML?

Who should attend

Procurement and supply chain managers interested in the potential impact of Machine Learning

Speakers:
HfS Research
Phil Fersht, CEO & Chief Analyst
Phil is an acclaimed author, analyst, and visionary in IT Services and BPO, the Digital Transformation of enterprise operations and cognitive automation strategies. Fersht coined the terms "The As-a-Service Economy" and "Digital OneOffice", which describe HfS Research's vision for the future of global operations and the impact of cognitive automation and disruptive digital business models. Phil was named Analyst of the Year in 2016 for the third time by the Institute of Industry Analyst Relations, which voted on 170 other leading IT industry analysts.
05

Oct

2018

11:00 - 12:00 PM
(GMT -4)

(Duration - 60 minutes)

ATTENDANCE FEE - FREE

WEBINAR HAS ENDED

Kelly Barner owns, manages, and edits Buyers Meeting Point. She has a unique perspective on procurement from the numerous roles she has held during her 15 years in procurement. Kelly worked for Ahold USA (parent company of grocery chains Stop & Shop, Hannaford, Giant Landover, and more) on their not ... Read More

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