Mon.Jan 09, 2023

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Top 11 Interview Questions About Transformer Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] Imagine you’re a member of an elite team of experts tasked with understanding and communicating with a group of alien robots. These robots have landed on Earth and are causing destruction and chaos, and it’s up to you to fathom […]. The post Top 11 Interview Questions About Transformer Networks appeared first on Analytics Vidhya.

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Where Collaboration Fails Around Data (And 4 Tips for Fixing It)

KDnuggets

Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.

IT 159
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Creating a Robust MLOps Model for your Organization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to analyze large amounts of data and make predictions or decisions based on the insights gained. However, developing and deploying machine learning models can be […].

Modeling 309
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Top 9 challenges IT leaders will face in 2023

CIO Business Intelligence

Three years ago, IT leaders were squarely focused on how to adopt fledgling AI techniques and approaches into their business models in service of digital transformations that included plans for shifting some workloads to the cloud. But then the pandemic hit, requiring a historic pivot that set some best-laid plans aside and accelerated others. Now that organizations have returned to a new (somewhat) normal, CIOs appear to be focused on getting back to basics — and untangling tech debt incurred i

IT 145
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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Use this Strategic Approach to Maximize Your Data’s Value

Smart Data Collective

In today’s world, data is more widely available to businesses than ever before. Whether it’s data about customer demographics , product colors that tend to sell better, or which cold email scripts are the most effective, organizations have the power to utilize data to help them inform their decision-making process in a variety of ways. However, while the immense amount of data available to organizations unlocks new possibilities — it can also make cleaning organizing, interpreting, and analyzing

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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO Business Intelligence

Imagine an airport that uses computer vision to track errant luggage in real time, or a commercial kitchen able to detect refrigeration conditions and prevent spoilage. Imagine an amusement park outfitting its rides with sensors that can talk directly to operations for upgraded safety and better guest experiences. Imagine a factory or a chain of retailers reducing energy and cutting equipment downtime.

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CIO Leadership Live with Veneeth Purushotaman, Group Chief Information Officer, Aster DM Healthcare

CIO Business Intelligence

Veneeth Purushotaman, Group CIO at Aster DM Healthcare explains how the hospital digital strategy helped them to become the first private hospital in Dubai to secure HIMSS Stage 6 certification. Watch the episode: Listen to the episode: CIO Leadership Live.

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3 Things I Wish I Knew When I Started Data Science

KDnuggets

Looking back and realizing how I was wrong about the data science career.

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How Did Our ML Model Rank #1 in Dataiku's 2022 FIFA World Cup Betting Contest?

Dataiku

The FIFA World Cup ended nearly a month ago, and we can now bring down the curtain on a memorable season with its fair share of emotions and surprises. Sadly, our favorite team didn’t win, but it’s not a big deal since the model we created to predict World Cup game outcomes performed very well! If you haven’t heard about how we used ML to make 2022 World Cup predictions, we invite you to check our first blog post here , as there will be many references to what we previously detailed.

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How Graph Analytics is Helping Improve Personalized Healthcare

CIO Business Intelligence

When the world’s largest healthcare company by revenue went looking for a technology solution that could improve quality of care while reducing costs, the search took ten years. What they found—an innovative way to model healthcare data—is saving the company an estimated $150M annually and enabling its medical professionals to provide accurate and effective care path recommendations in real time.

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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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Choosing the Right Programming Language for A Corporate Database

Smart Data Collective

For corporations, creating a reliable and easy-to-use corporate database is a vital part of developing and maintaining a smoothly-running operation. From keeping customer information private to ensuring that financial data is safe and secure, corporate databases can play an essential role in a corporation’s ability to succeed. Unfortunately, building a corporate database from scratch can be tricky if you don’t know where to start.

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How do you build a high-impact analytics team? Jamie knows.

Juice Analytics

Meet Jamie Beason. She is the Senior Director of Business Intelligence and Analytics at JLL, a global professional services company specializing in real estate and investment management. Jamie has built an analytics team with a thoroughness and thoughtfulness that I’ve rarely seen. If you are in the position of creating your own analytics team—or even if you are an analytics team of one—her approach is a blueprint worth emulating.

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How SAP Helped Create a Next-Generation Factory for Beauty and Sustainability

CIO Business Intelligence

The product line is designed to be beautiful as well as sustainable in terms of its durability and benefits for the environment. It’s highly resistant to scratches, abrasions, dry heat, solvents and cleaners, food, ink, makeup, crayons, and much more so that it can stay beautiful for years to come. But what the revolutionary high-pressure laminate (HPL) FENIX® line can’t handle is traditional HPL manufacturing.

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How A Data Catalog Enhances Data Risk Management

Alation

No matter where you reside, it seems as if significant data breaches happen almost weekly. A recent flurry of data breaches resulting in the disclosure of private data covering tens of millions of Australians has renewed the visibility of regulations that compel organisations to better protect consumer data. But data leaders must work quickly, and use the right tools, to understand, manage, and protect data while complying with related regulations and standards.

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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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Estes Express shifts gears on customer experience by streamlining data operations

CIO Business Intelligence

Customers are increasingly demanding access to real-time data, and freight transportation provider Estes Express Lines is among the rising tide of enterprises overhauling their data operations to deliver it. To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformatio

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Looking Ahead to 2023: What’s Coming to Depict Data Studio 

Depict Data Studio

Wondering what I’ve got planned this year? Here’s what’s in store for 2023 related to: Online Courses, Private Training, Conference Keynotes, Data Visualization Consulting, and. My Personal and Professional Goals. Online Courses. I have courses on 6 different topics. Here’s the calendar: Great Graphs in Excel , my Excel-specific dataviz course: Registration closes on Friday, March 3.