Thu.Jan 12, 2023

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Top automation pitfalls and how to avoid them

CIO Business Intelligence

First Tech Credit Union is a San Jose-based financial institution with more than $16 billion in assets. As the eighth largest in the country, it primarily serves tech companies and their employees, but still has a lot of manual processes in place. “We’re very early in our automation journey,” says Mike Upton, the organization’s digital and technology officer.

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Top Posts January 2-8: Python Matplotlib Cheat Sheets

KDnuggets

Python Matplotlib Cheat Sheets • Free Data Management with Data Science Learning with CS639 • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Creating a Web Application to Extract Topics from Audio with Python • More Data Science Cheatsheets.

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Agritech forces gain ground across Africa

CIO Business Intelligence

“Land never deceives” is a common slogan of farmers around Africa. Many people go into farming entirely, or as a side endeavor, with a high certainty they’ll make money and produce more good for all. And when technology is added to the mix, opportunities multiply. Having the largest area of uncultivated arable land in the world, sub-Saharan Africa, with a young population—nearly 60% is under 25—and a wealth of natural resources, has unparalleled advantages that could double or even triple its cu

IoT 143
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Overcome Your Data Quality Issues with Great Expectations

KDnuggets

Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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3 nonprofits committed to empowering women in tech

CIO Business Intelligence

A 2020 report from McKinsey found that companies with stronger gender diversity numbers were 25% more likely to outperform their less diverse competition. Yet, while companies have placed a greater emphasis on addressing the gender gap of late, women remain largely underrepresented in IT positions. Here, a number of factors are at play, not the least of which are IT workplace cultures that have a long way to go.

Software 119
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Scaling AI/ML Success: Key Components of a Future-Proof Platform

Dataiku

Not long ago, just having a data science team allowed executives to say they were "doing AI," but that has changed. In the past few years, companies across industries have used machine learning (ML) and AI technologies to streamline processes and improve experiences leading to increased revenues at lower costs. These achievements have made advanced analytics and AI an essential technology, and IT leaders are taking AI projects into mainstream IT programs at scale.

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Google Data Analytics Certification Review for 2023

KDnuggets

What is the Google Data Analytics Certification? And, more importantly, is it still worth getting it in 2023?

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CIO Leadership Live with Corrine Sharp, Co founder & CMO of the WIT Network

CIO Business Intelligence

Women in Technology – Corinne Sharp, Co founder &CMO the WIT Network, talks about building support and community for women in technology. You can learn more at [link] Watch this video: Listen to this episode: Careers, CIO, CIO Leadership Live.

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Approaches to Data Imputation

KDnuggets

This guide will discuss what data imputation is as well as the types of approaches it supports.

IT 120
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Data strategy is a differentiator for universities. Here’s how to get it right

CIO Business Intelligence

Data is critical to success for universities. Data provides insights that support the overall strategy of the university. It can also help with specific use cases: from understanding where to invest resources and discovering new ways to engage pupils, to measuring academic outcomes and boosting student performance. Data also lies at the heart of creating a secure, Trusted Research Environment to accelerate and improve research.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Saving Lives, Saving Costs: Predicting Heart Failure with Teradata

Teradata

A team of Teradata data scientists & industry experts worked alongside a U.S. insurance company to develop a solution that would predict the onset of heart failure 6 months in advance. Find out more.

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Innovative Manufacturers are Investing in these Advanced Technologies

CIO Business Intelligence

In many ways, the manufacturing industry stands on edge—emerging from a pandemic and facing all-time highs in demand yet teetering on inflation-related economic uncertainty and coping with skilled labor shortages. Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time.

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Smart approaches to allocations in enterprise financial and operational planning

IBM Big Data Hub

An allocation is the process of shifting overhead costs throughout an organization. One company might want to distribute costs across business units or departments. Another might want to assign costs to individual products or projects. Fundamentally, the smartest approach to allocations is about properly assigning costs to the areas that benefit from those costs.

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Nvidia offers retail loss prevention software to accelerate accelerator chip sales

CIO Business Intelligence

GPU manufacturer Nvidia is expanding its enterprise software offering with three new AI workflows for retailers it hopes will also drive sales of its hardware accelerators. The workflows are built on Nvidia’s existing AI technology platform. One tracks shoppers and objects across multiple camera views as a building block for cashierless store systems; one aims to prevent ticket-switching fraud at self-service checkouts; and one is for building analytics dashboards from surveillance camera video.

Sales 75
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Accelerate AI-Driven Decisions with DataRobot Dedicated Managed AI Cloud and Google Cloud

DataRobot Blog

Organizations that want to accelerate AI and generate significant business impact are now able to deliver augmented intelligence at scale with DataRobot Dedicated Managed AI Cloud and Google Cloud. This service is managed by DataRobot and eliminates the time and cost of on-premises deployment, in addition to removing the challenges of deploying, upgrading, scaling, and managing an infrastructure in-house.

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5 Signs Your PMO is on the Hot Seat

CIO Business Intelligence

Not too long ago, I was on a call with a top-level executive at a large enterprise. During the discussion, I heard something pretty shocking: They were looking seriously at getting rid of the project management office (PMO) altogether. Even more disturbing: I don’t see this as an aberration. In a significant number of businesses, PMOs are either being relegated to a lower-level status, they’re being worked around instead of with, or they’re creating outright barriers to progress.