May, 2020

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Tips for Advancing Analytics Capabilities from Data Champions Online, US

Corinium

The importance of company-wide buy-in and cross-functional collaboration emerged as key themes at this months Data Champions Online, US digital event. Almost 300 of North America’s most senior data and analytics leaders came together to discuss the future of the industry at Corinium’s third Data Champions Online, US digital event earlier this month.

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Demand for Data and Analytics Soars in the Wake of COVID-19

Corinium

Faced with unprecedented global disruption, organizations are hungry for reliable insights to guide them through the global COVID-19 pandemic. In times of crisis, organizations often need to make tough decisions fast. That’s particularly true in the era of COVID-19, and our research shows that data and analytics is playing a central role in business decision-making as executives steer their organizations through the unfolding pandemic.

Analytics 312
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6 Open Source Data Science Projects to Try at Home!

Analytics Vidhya

Overview Work on your data science skills using these open source projects These open-source data science projects cover a broad range of topics, from. The post 6 Open Source Data Science Projects to Try at Home! appeared first on Analytics Vidhya.

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When and When Not to Use Deep Learning

Dataiku

Deep learning is all the rage today, as major breakthroughs in the field of artificial neural networks in the past few years have driven companies across industries to implement deep learning solutions as part of their AI strategy. From chatbots in customer service to image and object recognition in retail , and much more, deep learning has unlocked a myriad of sophisticated new AI applications.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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An Introduction to Machine Learning Libraries for C++

Analytics Vidhya

Introduction I love working with C++, even after I discovered the Python programming language for machine learning. C++ was the first programming language I. The post An Introduction to Machine Learning Libraries for C++ appeared first on Analytics Vidhya.

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3 Classic Excel Tricks to Become an Efficient Analyst

Analytics Vidhya

Overview Learn 3 classic Excel tricks in this article that will impress your audience Use these Excel tricks in your business analytics or data. The post 3 Classic Excel Tricks to Become an Efficient Analyst appeared first on Analytics Vidhya.

More Trending

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Partner and Affiliate Monitoring: The Benefits of AI Over Traditional Methods

Analytics Vidhya

Introduction We are living in the midst of a global revolution right now. The business world of today is more interconnected than ever, not. The post Partner and Affiliate Monitoring: The Benefits of AI Over Traditional Methods appeared first on Analytics Vidhya.

Analytics 288
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What to Do When AI Fails

O'Reilly on Data

These are unprecedented times, at least by information age standards. Much of the U.S. economy has ground to a halt, and social norms about our data and our privacy have been thrown out the window throughout much of the world. Moreover, things seem likely to keep changing until a vaccine or effective treatment for COVID-19 becomes available. All this change could wreak havoc on artificial intelligence (AI) systems.

Risk 360
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DataOps and the Industrialization of AI

Corinium

HPE Global Field CTO Matt Maccaux explored why so many enterprises struggle to operationalize AI in his 2020 Data Champions Online US keynote presentation. Why Enterprises Struggle to Industrialize AI. Industrialization is the process of expanding the application of a technology so that a business can benefit from it at scale.

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Data Science Blogs-R-Us

Rocket-Powered Data Science

I have written articles in many places. I will be collecting links to those sources here. The list is not complete and will be constantly evolving. There are some older blogs that I will be including in the list below as I remember them and find them. Also included are some interviews in which I provided detailed answers to a variety of questions. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter.

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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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Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject. He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data.

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Data Governance as an Emergency Service

erwin

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. During times of crises, many of the less critical programs of work may be put on hold however ground-breaking they are. Organizations need to understand what the most critical operational activities are and the most impactful projects that need to proceed.

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Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds

Analytics Vidhya

Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. The post Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya.

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Data, Analytics And Insights Investments Produce Tangible Benefits. Yes, They Do.

Boris Evelson

If you set out to build a boil-the-ocean business case for why to invest in data, analytics and insights initiatives – stop. Use your precious time to instead focus on prioritizing the investment categories across where you are in your business insights maturity. Because they will yield tangible benefits – both top and bottom-line benefits. […].

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Video: Data Conversations Over Coffee with Veronica & Lays

Corinium

In episode 10 we talk to Veronica Brits & Lays Bammesberger about the use of AI and machine learning in social listening.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 6: The Impact of COVID-19 on Supply Chain Management. Listening time: 13 minutes. The Impact of COVID-19 on Supply Chain Management. In this episode of AI to Impact podcast, Arun Krishnamoorthy, VP, Supply Chain Practice at BRIDGEi2i, discusses how the pandemic has affected the Supply Chain ecosystems throwing their sourcing network, lead times and data pipelines off balance.

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Accelerating the Journey to AI for government in a post-COVID world

IBM Big Data Hub

AI is transforming how businesses operate and deliver value, while simultaneously improving efficiencies across the organization. Governments have taken an increasingly important role in the advent of COVID-19 as citizens look to government agencies for trusted information for their individual safety, well-being and beyond – to both support and benefit themselves socially, economically and emotionally.

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The Difference Between Data Architecture and Enterprise Architecture

erwin

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. In simple terms, EA provides a holistic, enterprise wide overview of an organization’s assets and processes, whereas data architecture gets into the nitty gritty.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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10 matplotlib Tricks to Master Data Visualization in Python

Analytics Vidhya

Overview matplotlib is a widely used Python library for performing data visualization and exploratory data analysis These 10 matplotlib tricks will enable you to. The post 10 matplotlib Tricks to Master Data Visualization in Python appeared first on Analytics Vidhya.

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The Insights Beat: Data And Analytics Make The Perfect One-Two Punch

Srividya Sridharan

Spring is usually an exciting time in the sports world. It marks the culmination of the men’s and women’s college basketball seasons, the NBA and NHL playoffs begin, the domestic European soccer (football) leagues are in full swing and the Boston Marathon traditionally takes place on the third Monday of April. But the COVID-19 crisis […].

Analytics 122
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Zen and the Art of Data Maintenance: Being Zen With Coronavirus Data

TDAN

Is it possible to listen without opinion, judgement or stories [i]? In this coronavirus pandemic, many people have strong opinions, judgement, and stories. For example: — “This is ridiculous, and we are overacting.”— “We have not been careful enough and are not being careful enough. This is serious!”— “We have shut down our economy over […].

IT 120
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COVID-19: Risk Analytics for Building an Early Warning System

Teradata

Advanced analytics & AI techniques can help in curtailing the COVID-19 pandemic. This post describes an analytics prototype to build an early warning system for COVID-19.

Risk 118
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Your Expert Guide to CX Orchestration & Enhancing Customer Journeys

Speaker: Keith Kmett, Principal CX Advisor at Medallia

Join Keith Kmett, Principal CX Advisor, in this new webinar that will focus on: Understanding CX Orchestration Fundamentals: Gain a solid understanding of what CX orchestration is, its significance in the customer experience landscape, and how it plays a crucial role in shaping customer journeys. This includes the key concepts, strategies, and best practices involved in CX orchestration. 🔑 Connection to Customer Journey Maps: How to effectively integrate customer journey mapping into the

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Unlocking IT cost savings with IBM Cloud Pak for Data

IBM Big Data Hub

With COVID-19 and the current market uncertainty, every business leader is under unprecedented pressure to cut their expenses while still ensuring business continuity - no one, more so than the CIO. Enabling this new reality of virtual collaboration, automation and self-service while supporting the increased focus on data, analytics and AI is forcing IT leaders to reduce complexity and consolidate their offerings.

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Reporting: Is it the Most Boring, Important Thing in Analytics?

Juice Analytics

Dresner Advisory Services’ report about self-service business intelligence uncovered a surprising result. Among all the technologies and initiatives that respondents consider important, the item that topped the list was reporting. [link]. Let that sink in. Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative.

Reporting 115
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Build your own Optical Character Recognition (OCR) System using Google’s Tesseract and OpenCV

Analytics Vidhya

Overview Optical Character Recognition (OCR) is a widely used system in the computer vision space Learn how to build your own OCR for a. The post Build your own Optical Character Recognition (OCR) System using Google’s Tesseract and OpenCV appeared first on Analytics Vidhya.

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The Power of AI in Finance and Algorithmic Trading

DataCamp

As artificial intelligence, machine learning, and data science are fundamentally changing the world, we need to investigate how they’re impacting finance and algorithmic trading, particularly at a time when markets are so vulnerable and volatile.

Finance 110
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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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Now Enrolling: Dataiku Academy

Dataiku

As interest and participation in on-demand training across the globe continues to rise, we at Dataiku wanted to find new ways for our customers and users to get the information they need when – and how – they want. That’s why we’re excited to announce the launch of Dataiku Academy , our set of in-depth online video courses and certificate programs.

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Introducing Teradata’s Incoming CEO Steve McMillan

Teradata

Teradata's Board of Directors has selected the company's next President and Chief Executive Officer: Steve McMillan. Read more from interim President and CEO, Vic Lund.

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How technology, talent and data provide hope in tumultuous times

IBM Big Data Hub

In Ohio, the tectonic shift occurred at 11:59 p.m. March 23, 2020 when the Department of Health Director implemented stay at home orders. In subsequent days and weeks, unknowns prevailed – despite an inundation of COVID-19 information, and often conflicting perspectives from government, healthcare and media sources. Points of view from colleagues, family and friends were abundant.

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Data Culture Issues and How to Fix Them

TDAN

If your organization uses data—and even if it doesn’t—you have a data culture. Think about the ways that you and your colleagues interact with and discuss data. Are people afraid of it? Do they trust it? Is it spoken about as a driver of business and competitive edge or just the exhaust of your existing […].

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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.