Corinium
JUNE 26, 2020
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.
Alation
JUNE 23, 2020
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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Analytics Vidhya
JUNE 25, 2020
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.
datapine
JUNE 23, 2020
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.
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.
Corinium
JUNE 24, 2020
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?
O'Reilly on Data
JUNE 24, 2020
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?
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
erwin
JUNE 26, 2020
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.
Corinium
JUNE 26, 2020
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.
IBM Big Data Hub
JUNE 23, 2020
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.
Analytics Vidhya
JUNE 22, 2020
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.
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.
Dataiku
JUNE 24, 2020
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.
Corinium
JUNE 21, 2020
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.
IBM Big Data Hub
JUNE 23, 2020
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.
Analytics Vidhya
JUNE 23, 2020
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.
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.
Dataiku
JUNE 23, 2020
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.
Corinium
JUNE 24, 2020
In this episode I talk to Louise about the use of data analytics for good - helping youth employment.
IBM Big Data Hub
JUNE 25, 2020
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.
Analytics Vidhya
JUNE 21, 2020
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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Dataiku
JUNE 26, 2020
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.
Corinium
JUNE 21, 2020
This episode covers the ethical use of customer data in AI models and pandemic response.
IBM Big Data Hub
JUNE 26, 2020
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.
Teradata
JUNE 22, 2020
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.
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.
erwin
JUNE 22, 2020
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.
Corinium
JUNE 25, 2020
This is the second episode in a short series promoting the data management profession.
Jen Stirrup
JUNE 20, 2020
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.
IBM Big Data Hub
JUNE 24, 2020
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.
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.
Sisense
JUNE 25, 2020
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.
CDW Research Hub
JUNE 24, 2020
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
Jet Global
JUNE 25, 2020
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.
Teradata
JUNE 24, 2020
Learn how Teradata Vantage's advanced analytics capabilities can analyze and predict useful diagnoses and insights in biomedicine and healthcare.
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“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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