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.
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?
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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?
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.
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: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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 25, 2020
This is the second episode in a short series promoting the data management profession.
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.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
bridgei2i
JUNE 24, 2020
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 8: COVID-19 and Changing Facets of Customer Engagement. Listening time: 11 minutes. COVID-19 and Changing Facets of Customer Engagement. In this episode of AI to Impact, Jitendra Jethanandani, Director, Enterprise Tech at BRIDGEi2i, discusses how the current COVID-19 pandemic spreads waves of uncertainty across businesses and their customer base requiring a renewed focus required on customer engagement.
Corinium
JUNE 24, 2020
In this episode I talk to Louise about the use of data analytics for good - helping youth employment.
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.
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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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
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.
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.
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.
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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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.
Corinium
JUNE 21, 2020
This episode covers the ethical use of customer data in AI models and pandemic response.
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.
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.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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.
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 24, 2020
What Is an Engineering KPI? An engineering Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an engineering firm uses to gauge its success over time. With engineering being a very broad field, KPIs are employed in a variety of ways, ranging from company-wide analysis to project specific performance metrics. Company wide KPIs can be used to compare companies in the same industry, while project specific KPIs should be used internally to evaluate project perfo
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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