Sat.Jun 06, 2020 - Fri.Jun 12, 2020

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Rising from the Ashes

Teradata

Teradata's own Sir Freek Cox on dedicating one's life to charity and good works. Read more.

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US Data Leaders Racing to Grow Strong Data Cultures

Corinium

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.

Analytics 221
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A Flash-Point Week For Facial Recognition

Srividya Sridharan

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 […].

Software 103
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4 Ways to Leverage AI to Become More Agile in an Era of Economic Change

Dataiku

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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15 Modern Use Cases for Enterprise Business Intelligence

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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Video: Data Conversations Over Coffee with Will Bonner

Corinium

In episode 16 we chat to Will Bonner about the role data analytics plays in the micro-lending industry.

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8 Data Virtualization Features to Help an Organization Become Data-Driven

Data Virtualization

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.

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SQL for Beginners and Analysts – Get Started with SQL using Python

Analytics Vidhya

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.

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Machine Learning and the Production Gap

O'Reilly on Data

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.

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COVID-19’s Impact on Corporate Learning Laid Bare at L&D Champions Online

Corinium

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.

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Data Visualization – How to Choose the Right Chart?

FineReport

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?

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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5 Powerful Excel Dashboards for Analytics Professionals

Analytics Vidhya

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.

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The Dataiku and Snowflake Data Science Integration: A Real-Life Example

Dataiku

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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Video: Data Conversations Over Coffee with Bart Pietruszka

Corinium

In episode 15 Bart Pietruszka discusses the evolving role of the Chief Data Officer in the Middle East.

Analytics 195
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How to Take Your Business to The Next Level with Data Intelligence

erwin

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.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Everything you Should Know About Data Structures in Python

Analytics Vidhya

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.

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How to Figure Out if Your Model Sucks

Dataiku

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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Delivering More Impactful Insights From Your Cloud Data

Sisense

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.

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Martin Gonzalez: tracking costs and maximizing margin with real-time data

IBM Big Data Hub

This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Introduction to ANOVA for Statistics and Data Science (with COVID-19 Case Study using Python)

Analytics Vidhya

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.

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Writing Production-Ready Code in the Machine Learning Era

Dataiku

“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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How to Turn Your Existing Data Into New Revenue

Sisense

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?

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Powerbimap – Announcement and call to register for vendors and consultancies

BI-Survey

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.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Your Guide to Getting Started with Geospatial Analysis using Folium (with multiple case studies)

Analytics Vidhya

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.

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Dataiku comes with Visual AutoML (And You Didn’t Even Know About It!)

Dataiku

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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Do you have the right talent to put AI to work?

IBM Big Data Hub

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.

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Domino Paves the Way for the Future of Enterprise Data Science with Latest Release

Domino Data Lab

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.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Build your own Animated Data Visualization in Tableau in Just 5 Minutes

Analytics Vidhya

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.

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Top-Down vs. Bottom-Up Approaches to Data Science

Dataiku

Data projects are generally organized in one of two ways: top-down (that is, starting with the business question) or bottom-up (starting with the data and working up to insights). But is there a right way, and is one approach better or more effective than the other?

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Save on infrastructure and operational costs with IBM Cloud Pak for Data

IBM Big Data Hub

Modern Data and AI application deployments are expanding through open source containers and hybrid multi-cloud support, but how can you achieve the benefits of infrastructure optimization and unified operationalization without vendor lock-in?

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COVID-19: Accelerate Digitization (Part 2)

Decision Management Solutions

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.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.