Rising from the Ashes
Teradata
JUNE 9, 2020
Teradata's own Sir Freek Cox on dedicating one's life to charity and good works. Read more.
Teradata
JUNE 9, 2020
Teradata's own Sir Freek Cox on dedicating one's life to charity and good works. Read more.
Corinium
JUNE 12, 2020
Organizations must not lose sight of this key step on the path to data maturity in the age of COVID-19. Driving cultural change is one of the greatest barriers to advancing data and analytics in business today, and organizations must not lose sight of that fact in the age of COVID-19.
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Srividya Sridharan
JUNE 11, 2020
In a letter to Congress this week, IBM’s CEO announced that it will sunset its general-purpose facial recognition and analysis software products. On IBM’s heels, Amazon announced a one-year moratorium on police use of Rekognition, and Microsoft said it will not sell facial recognition technology to US police departments until there is a national law […].
Dataiku
JUNE 10, 2020
According to Forbes , enterprises increased AI spending by 62% last year. However, those AI initiatives have remained tangential to many companies’ central operations, viewed more as an experiment than an indispensable organizational asset. In the second half of 2020 and beyond, this paradigm will shift, and the move to Enterprise AI will become essential for survival - here are four ways to leverage AI to become more agile in a post-pandemic world.
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AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Corinium
JUNE 11, 2020
In episode 16 we chat to Will Bonner about the role data analytics plays in the micro-lending industry.
Data Virtualization
JUNE 10, 2020
Becoming a data-driven organization is not something that can be done in a fortnight. It’s a long and possibly tedious process and certainly not just a matter of buying and installing certain tools. No, even though investments in new technology.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
JUNE 7, 2020
Overview SQL is a mandatory language every analyst and data science professional should know Learn about the basics of SQL here, including how to. The post SQL for Beginners and Analysts – Get Started with SQL using Python appeared first on Analytics Vidhya.
O'Reilly on Data
JUNE 9, 2020
The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. It’s getting machine learning from the researcher’s laptop to production. That’s the real gap. It’s one thing to build a model; it’s another thing altogether to embody that model in an application and deploy it successfully in production.
Corinium
JUNE 10, 2020
In episode 15 Bart Pietruszka discusses the evolving role of the Chief Data Officer in the Middle East.
IBM Big Data Hub
JUNE 11, 2020
This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics.
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
Analytics Vidhya
JUNE 9, 2020
Overview Geospatial analysis is taking on an ever more important role in the industry The Folium library in Python helps us analyze the location. The post Your Guide to Getting Started with Geospatial Analysis using Folium (with multiple case studies) appeared first on Analytics Vidhya.
FineReport
JUNE 9, 2020
Now you get a data table from your boss, what are you going to do to process the data and make your boss satisfied? From Excel Easy. Using the pivot table or Excel chart to show them better? It’s maybe a good idea, but this may take a lot of time… What about this? Let’s look at the following dashboard together. Isn’t it very cool? How many types of charts can you name?
Corinium
JUNE 10, 2020
How organizations can rapidly evolve their talent to foster resilience and innovation was a key theme at this three-day corporate learning digital event. The COVID-19 pandemic has highlighted just how important it is for talent leaders to be laser-focused on the kind of work that will accelerate their organizations’ abilities to adapt and thrive in times of uncertainty.
Dataiku
JUNE 11, 2020
Recently, Dataiku announced our strategic partnership with Snowflake , the cloud data platform. At Dataiku, we support agility in organizations’ data efforts via collaborative, elastic, and responsible AI, all at enterprise scale. Snowflake helps organizations easily transform, integrate, analyze and securely share data across all major clouds, enabling them to collect and process more data than ever before.
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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.
Analytics Vidhya
JUNE 10, 2020
Overview Dashboards are ubiquitous in the industry. Every analyst should be well versed with how to create dashboards Excel is an excellent tool for. The post 5 Powerful Excel Dashboards for Analytics Professionals appeared first on Analytics Vidhya.
erwin
JUNE 11, 2020
What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Collectively, data intelligence refers to the tools, processes, and activities that are developed from business-related data that the company collects and processes for enhancing business processes.
Sisense
JUNE 8, 2020
Blog. Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. The way businesses operate is constantly evolving. The pressure is on for organizations of all shapes, sizes, and missions to make decisions at speed and scale — and collaborate in real-time.
Dataiku
JUNE 12, 2020
We’ve spoken before about basic concepts in data science and machine learning algorithms , so by this point, you might have already created a machine learning model. But now the question is: how can you tell if it’s a good model?
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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.
Analytics Vidhya
JUNE 7, 2020
Introduction “A fact is a simple statement that everyone believes. It’s innocent, unless found guilty. A Hypothesis is a novel suggestion that no one. The post Introduction to ANOVA for Statistics and Data Science (with COVID-19 Case Study using Python) appeared first on Analytics Vidhya.
BI-Survey
JUNE 7, 2020
The ecosystem around Microsoft Power BI is growing fast – consultancies and software vendors are adopting the platform to offer added value in visuals, apps, connectors and data management tools. bi-survey.com is launching an innovative market overview with the clear goal of offering our visitors the fastest and most intelligent way to browse through the Power BI ecosystem and find added value as well as the right partner for their initiatives.
Sisense
JUNE 10, 2020
Blog. Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. What makes the world’s most innovative and successful companies different from the rest?
Dataiku
JUNE 12, 2020
“The essence of abstractions is preserving information that is relevant in a given context, and forgetting information that is irrelevant in that context.” - John V. Guttag.
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Analytics Vidhya
JUNE 8, 2020
Overview Data structures in Python are a key concept to learn before we dive into the nuances of data science and model building Learn. The post Everything you Should Know About Data Structures in Python appeared first on Analytics Vidhya.
IBM Big Data Hub
JUNE 8, 2020
Around the world, companies are pivoting to adjust to an entirely new reality. Business-as-usual means something far different today than it did just a few months ago. For most enterprises, digital transformation isn’t just a distant business objective—now it’s an imperative to find new ways of doing business.
Domino Data Lab
JUNE 10, 2020
Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. We’re introducing groundbreaking new features – including On-demand Spark clusters, enhanced project management, and the ability to export models – that give enterprises unprecedented power to scale their data science capabilities by addressing common struggles.
Dataiku
JUNE 12, 2020
Instead of being another tragic event in a long list of injustices against the Black community, George Floyd’s death has sparked a tsunami of anger, protest, reflection, and resolve for meaningful change across the world. This spark has made it clear that change must come from each of us: as individuals, as global citizens, as companies, and as Dataiku.
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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.
Analytics Vidhya
JUNE 11, 2020
Overview Animated visualizations are a work of art and are really easy to create in Tableau We’ll work with open-source datasets here and create. The post Build your own Animated Data Visualization in Tableau in Just 5 Minutes appeared first on Analytics Vidhya.
IBM Big Data Hub
JUNE 12, 2020
This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics.
Decision Management Solutions
JUNE 11, 2020
Following up on part 1 , McKinsey’s Jump-starting resilient and reimagined operations also talked about the impact of COVID-19 in accelerating end-to-end digitization. Many organizations were on this journey already but the need to support remote customers and remote workers has really accelerated it. The thing about end to end digitization is that you must digitize decisions not just data and processes.
Dataiku
JUNE 11, 2020
Inspired by this CDiscount tech post giving an overview of some MetaML solutions, we thought this would be the perfect time to also talk about MetaML. Because what could be more meta than to write a blogpost about another blogpost?
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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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