Sat.Jun 20, 2020 - Fri.Jun 26, 2020

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Four Reasons CDAOs Should Prioritize Data and AI Ethics

Corinium

The threats ethical challenges pose to public trust in AI systems are growing rapidly as organizations deploy these technologies in ever more sophisticated ways. As the impact AI technologies have on people’s lives grows, businesses can’t afford to take the trust people place in AI tools for granted.

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Eight Questions on Data Governance: An Interview with Alation Co-Founder and Chief Data Officer Aaron Kalb

Alation

The post Eight Questions on Data Governance: An Interview with Alation Co-Founder and Chief Data Officer Aaron Kalb appeared first on Alation.

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3 Building Blocks of Machine Learning you Should Know as a Data Scientist

Analytics Vidhya

Overview A machine learning system consists of multiple building blocks that need to be managed Learn about the three key building blocks of machine. The post 3 Building Blocks of Machine Learning you Should Know as a Data Scientist appeared first on Analytics Vidhya.

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Your Introduction To CFO Dashboards & Reports In The Digital Age

datapine

As a chief financial officer (CFO), the weight of your company’s fiscal wellbeing most likely rests on your shoulders. Not only are you responsible for the ongoing financial strategy of your organization, but you’re probably expected to provide timely, accurate reports to a variety of stakeholders. With so much responsibility and such little time, financial data analysis is no easy feat.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Corinium Meets: BNP Paribas Global Head of AI Adri Purkayastha

Corinium

BNP Paribas Global Head of AI and Digital Risk Analytics Adri Purkayastha talks to us about how COVID-19 is accelerating the firm’s digital transformation and the future of risk analytics. You’ve been at BNP Paribas for roughly 18 months. What would you say are the main differences between working for an in-house data science function and the kind of consultancy work you previously did?

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COVID-19 and Complex Systems

O'Reilly on Data

In various mailing lists about the COVID-19 pandemic, I’ve seen several discussions of “complex systems theory” as, possibly, a way to understand how the pandemic is playing out in different locations. Specifically: why have Japan and Hong Kong not experienced an explosion in cases, even though their governments responded poorly to the crisis?

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Do I Need a Data Catalog?

erwin

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer.

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Video: Data Conversations Over Coffee with Libby Duane

Corinium

In this episode I'm joined by Libby Duane who is the Chief Customer & Co-Founder of Alteryx to talk about Analytics Process Automation & skills development in analytics.

Analytics 195
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The journey to AI: keeping London's cycle hire scheme on the move

IBM Big Data Hub

When planning for a day of business, how do you calculate the numerous factors that may affect your bottom-line revenue? For Serco, a company which operates a bike-sharing service throughout London, the answer was in their data.

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New to Kaggle? Here’s How you can Get Started with Kaggle Competitions

Analytics Vidhya

Overview Kaggle can often be intimating for beginners so here’s a guide to help you started with data science competitions We’ll use the House. The post New to Kaggle? Here’s How you can Get Started with Kaggle Competitions appeared first on Analytics Vidhya.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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The Different Types of Data Scientists (And What Kind You Should Hire)

Dataiku

Not all data scientists are created equal, especially now that several “generations” of data scientists have entered and left organizations.Today, data scientists come in many flavors with different strengths that may suit different types of enterprises depending on the types of problems or projects they are working on. Not to say that one type is better or worse than another type of data scientist — it all depends on what a business is looking for.

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Zendesk - Forrester: Responding, managing, and leading during a pandemic

Corinium

As we come out of lockdown and ease our way into the new normal, effective communication and leadership is vital to a smooth transition. Forrester has surveyed hundreds of customers, employers and workers about their experiences so far, and the things that they find most challenging. In this webinar recording from Zendesk, hear Riccardo Pasto from Forrester as he discusses the steps in responding to, and leading through a crisis; including setting up a framework for sound decision-making.

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Data quality: The key to building a modern and cost-effective data warehouse

IBM Big Data Hub

Turning raw data into improved business performance is a multilayered problem, but it doesn’t have to be complicated. To make things simpler, let’s start at the end and work backwards. Ultimately, the goal is to make better decisions during the execution of a business process. This can be as simple as not making a customer repeat their address after a hand-off in a call center, or as complex as re-planning an entire network of flights in response to a storm.

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3 Ambitious Excel Charts to Boost your Analytics and Visualization Portfolio

Analytics Vidhya

Overview Excel charts are a powerful way to showcase your analytics profile Here are three ambitious Excel charts every analyst should be familiar with. The post 3 Ambitious Excel Charts to Boost your Analytics and Visualization Portfolio appeared first on Analytics Vidhya.

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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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Happy Birthday, Alan Turing!

Dataiku

Alan Turing — British mathematician, World War II codebreaker, and computer science trailblazer — would have been 108 years old today. In this blog post, we highlight his key achievements and significant impact on the computer science and machine learning (ML) industry and anecdotally comment on what he may have thought of the state of Enterprise AI today.

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Video: Conversations Over Coffee with Louise de Beer

Corinium

In this episode I talk to Louise about the use of data analytics for good - helping youth employment.

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IBM’s Cloud Pak for Data helps Wunderman Thompson build guideposts for reopening

IBM Big Data Hub

As communities and businesses worldwide look to understand the economic impact of COVID-19 and prepare for an eventual recovery, the biggest test of decision-making will be the data that will inform the business decisions. Was it trusted? Was it timely? Was it enough? To date, there are many efforts to release COVID-19 dashboards that can give us a hint on what to do next.

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Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch

Analytics Vidhya

Overview You can perform predictive modeling in Excel in just a few steps Here’s a step-by-step tutorial on how to build a linear regression. The post Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch appeared first on Analytics Vidhya.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Curiosity-Driven Learning Through Next State Prediction

Dataiku

In the last few years, we’ve seen a lot of breakthroughs in reinforcement learning (RL). From 2013 with the first deep learning model to successfully learn a policy directly from pixel input using reinforcement learning to the OpenAI Dexterity project in 2019, we live in an exciting moment in RL research.

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Video: Data Conversations Over Coffee with Mishumo Dzhivhuho

Corinium

This episode covers the ethical use of customer data in AI models and pandemic response.

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Five steps to jumpstart your data integration journey

IBM Big Data Hub

As coined by British mathematician Clive Humby, "data is the new oil." Like oil, data is valuable but it must be refined in order to provide value. Organizations need to collect, organize, and analyze their data across multi-cloud, hybrid cloud, and data lakes. Yet traditional ETL tools support only a limited number of delivery styles and involve a significant amount of hand-coding.

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Modernization Means Simplicity and Sophistication

Teradata

When it comes to being a modern data warehouse, your age really is just a number. It’s the underlying capabilities that actually count. Read more.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Overcoming the 80/20 Rule – Finding More Time with Data Intelligence

erwin

The 80/20 rule is well known. It describes an unfortunate reality for many data stewards, who spend 80 percent of their time finding, cleaning and reorganizing huge amounts of data, and only 20 percent of their time on actual data analysis. That’s a lot wasted of time. Earlier this year, erwin released its 2020 State of Data Governance and Automation (DGA) report.

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Video: Data Conversations Over Coffee with Kaizer Manasoe

Corinium

This is the second episode in a short series promoting the data management profession.

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PASS Financials: past, present and the Future:

Jen Stirrup

In this post, I want to analyse the current PASS situation, explain some broader context, and give people a more data-driven view. I hope that this leads to a calmer discussion by providing additional information and data. I want to help by providing data and insights on the recent PASS row online. I also want to sound a few warning bells and I have the data to back it up.

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Big? ?Data:? ?The? ?Secret? ?to? ?Starbucks’? ? Supply? ?Chain? ?Success?

Sisense

Blog. The right use of data changes everything. Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. When Jerry Baldwin, Gordon Bowker, and Zev Siegl opened the first Starbucks store in 1971 near the historic Pike Place Market in Seattle , they couldn’t have known that their small, local coffee shop would turn into a worldwide empire.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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Service Visibility: 4 Keys to Establishing a Valued CMDB

CDW Research Hub

Many IT organizations are challenged by a lack of visibility into service performance—whether delivery or support—across their organization. That absence of visibility often leads to erroneous assumptions and reactive decisions based on emotional intensity and experience related to a speculative context. These reactive decisions commonly lead to a never-ending fire-fighting cycle compounded by limited transparency and contextual reference, making it difficult to deliver new, innovative solutions

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Infographic: Navigating the 2020 Retail Market Transformation

Jet Global

Shopping trips changed dramatically in 2020, and while some stores are beginning to reopen, there are still challenges ahead due to recession , supply chain disruption, and even customer frame of mind. Maintaining existing customers and gaining new ones is especially challenging in this environment. Cost containment and risk mitigation are key to survival.

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How to Leverage Advanced Analytics in the Healthcare Domain

Teradata

Learn how Teradata Vantage's advanced analytics capabilities can analyze and predict useful diagnoses and insights in biomedicine and healthcare.

Analytics 109
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Max Jaiswal on managing data for the world’s largest life insurer

IBM Big Data Hub

Max Jaiswal is the enterprise data team lead at AIA Australia , a pan-Asian life insurance company with presence in 18 markets across the Asia-Pacific region. The 100-year-old firm is the largest life insurer in the world, and the largest company on the Hong Kong stock exchange , with assets of USD $230 billion. The company’s brand promise is simple: to help people live healthier, longer, better lives.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr