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Healthcare Summit: Securing Life Sciences, Genomic Data

Data Breach Today

ISMG Summit Speaker Phil Englert of H-ISAC on Emerging Security Healthcare Issues Life sciences firms, including pharmaceutical companies, are facing growing challenges in securing complex sets of sensitive data, including genomic information, said H-ISAC's Phil Englert, one of many high-profile speakers who will discuss industry trends at ISMG's upcoming (..)

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Netography Brings Data Science, Detection to Monitoring Tool

Data Breach Today

CEO Martin Roesch Says Netography Can Detect Anomalous Behavior Without Human Help Netography has added more detection features and data science capabilities to help large enterprises better understand what's on their networks, according to CEO Martin Roesch.

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MassMutual Taps Into the Power of Data Science

Data Breach Today

Ariel Weintraub on Putting Data to Work in the SOC and IAM Ariel Weintraub joined MassMutual last fall to focus on putting data science to work to help improve the insurance company's security operations and identity and access management programs. What are the early use cases and lessons learned?

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An agile approach to Data Science

OpenText Information Management

A notable exception is OpenTextâ„¢ Magellanâ„¢ and our Data Science projects. In these cases, customers can expect an approach which simply adds refinement iterations to the build phase or … The post An agile approach to Data Science appeared first on OpenText Blogs. OpenText software is well suited for the waterfall project model.

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Customer Experience Management: Optimizing Your Strategy for Financial Success

Speaker: Diane Magers, Founder and Chief Experience Officer at Experience Catalysts

She’ll explore how to pinpoint, measure, and attain benefits such as increased revenue per customer, call reduction, reduced attrition, referral growth, and reduced cost-to-serve through CX improvements, all while actively engaging your customers.

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How to prepare for intelligent capture in Life Sciences

OpenText Information Management

Recently I wrote a blog outlining why intelligent capture is the secret weapon Life Sciences companies need. I talked about how Life Sciences companies need to implement intelligent capture technology to transform documents into actionable business insights and achieve their digital transformation goals.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

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The Ultimate Guide to Sales Outreach

Sales outreach is an art and a science. We bring the science—proven tactics, strategies, and methods that really work. The art is what you bring to the table—your flair for conversation, your work ethic, your dedication.

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Improve Onboarding with User-Centered Design

Speaker: Dr. Kate Wolin, Founder, Circea

Join Dr. Kate Wolin, founder of Circea, for an overview of behavioral science and the evidence-based strategies that can be used to support patient engagement. Practices with compelling onboarding experiences are the ones who will ultimately succeed in the pandemic area and beyond.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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The Evolution of the Data Team: Lessons Learned From Growing a Team From 3 to 20

Speaker: Mindy Chen, Director of Decision Science, Hudl

Mindy Chen, Director of Decision Science at Hudl, will take us on a journey through the challenges and opportunities she has seen when building a data team from scratch. In this webinar, we will unpack how data team structures have evolved, drawing on examples from our customers and specifically from the data team at Hudl.