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Fern Halper

VP, Research at TDWI

New York City Metropolitan Area, United States

VP and Research Director @ TDWI | Data, Analytics, AI

Available For: Authoring, Speaking
Travels From: New York
Speaking Topics: analytics, AI, governance

Fern Halper Points
Academic 0
Author 81
Influencer 42
Speaker 6
Entrepreneur 10
Total 139

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Company
Minimum Project Size: $5,000+
Average Hourly Rate: $300+
Number of Employees: 51-250
Company Founded Date: Undisclosed
Media Experience: 20 years

Areas of Expertise

AI 31.12
Analytics 30.62
Big Data 31.09
Cloud 32.31
Digital Transformation 30.26

Industry Experience

Professional Services
Telecommunications

Publications & Experience

2 Analyst Reports
TDWI Best Practices Report | Distributed Data Management: Solving Challenges and Maximizing Opportunities
TDWI Best Practices Report
November 06, 2024
This TDWI Best Practices Report examines the current state of distributed data management, exploring the challenges and the solutions organizations are adopting to navigate this evolving landscape.

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Tags: Big Data, Cloud, Digital Transformation

State of AI Readiness
TDWI
July 11, 2024
With the advent of generative AI, more organizations are feeling pressure to put an AI program to work in their company. However, if they don’t have the necessary foundations in place, it will be difficult for them to succeed. Readiness is not simply a matter of trying out AI solutions or building a predictive analytics model. AI readiness involves people, processes, and technologies.

Read the new State of AI Readiness report today to learn about the current state of AI, how ready organizations are to implement it, and best practices for moving forward with AI.

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Tags: AI, Analytics, Digital Transformation

1 Article/Blog
Two Tips for Citizen Data Scientists
LinkedIn
June 23, 2016
I've been thinking a lot about the notion of the citizen data scientist -- the business user or analyst who may not have formal training in statistics or math but who performs advanced analytics anyway using some of the easy-to-use, data-science-in-a-box software that is currently being marketed by analytics vendors. In a recent TDWI poll of 125 attendees at one of our educational events, 22 percent of respondents said business analysts were already doing this in their organization; 29 percent said they would be in the near future.

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Tags: AI, Analytics

1 Book
Big Data for Dummies
Wiley
April 15, 2013
Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work.

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Tags: AI, Big Data, Cloud

1 Executive
TDWI
TDWI
January 01, 2013
For more than 25 years, TDWI has been helping data professionals get smarter so the companies they work for can innovate and grow faster.

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Tags: AI

2 Webinars
Building Sophisticated AI Business Applications in the Cloud
TDWI
October 29, 2024
AI-powered applications are now essential for business success, and the cloud is at the center of this transformation. In this webinar, TDWI’s Fern Halper and Prashanth Thandavamurthy from Snowflake will discuss best practices for developing high-performance AI applications in the cloud, focusing

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Tags: AI, Cloud

From Migration to Modernization: Boosting Your Data Infrastructure for Success
TDWI
October 22, 2024
Join this TDWI webinar, with Fern Halper, TDWI’s VP of research; Arnab Sen, VP of data engineering at Tredence; and Sami Akbay, group product manager – data and analytics at Google, to learn how to transition from legacy systems to modern, cloud-based infrastructures, democratize data across the organization, boost operational efficiency, and enable advanced technologies for sustained growth.

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Tags: AI, Analytics

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2 Badges

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