Sat.Feb 29, 2020 - Fri.Mar 06, 2020

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What is an Information Steward, and Why You Should Care

Grooper

Information stewards are the critical link for organizations committed to innovation and maximizing the effective use of data. Haven’t heard the term “information steward” before? If your organization has any kind of data and analytics initiative, then chances are you have people – maybe even an entire department dedicated to managing and integrating data for (and between) software applications to achieve some sort of business outcome.

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Make An Impact: Hidden Reasons Why Your Data Analysis Has No Value

TDAN

In most of our organizations we have people doing data analysis all over the place. From very technical SQL queries and cubes to the more mundane spreadsheet-based number crunching, we have no shortage of data activity going on. It would be too easy to say that the reason organizations fail to fully capitalize on this […].

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Getting Started With Strategic & Operational Reports

datapine

In our information-rich age, a business can accelerate its success by harnessing its organizational data in a way that is both efficient and value-driven. To squeeze every last drop of value from your data, both in an operational and strategic sense, it’s important to leverage the right online reporting tool. When it comes to reporting, the daily running of your business, the plans and methods you formulate to improve the organization will steer your long-term success.

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The Difference Between AI and Machine Learning

DataCamp

What are artificial intelligence, machine learning, and data science? How are they related? Read on to find out where they intersect and diverge.

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State of AI in Sales & Marketing 2025

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.

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Data Cleansing Vs. Data Enrichment – What is the Difference?

TDAN

Tucked away in portals across the internet, in different formats, with bad headers, strange encoding, and more – the world of data can be treacherous, and despite ‘data scientist’ being dubbed the sexiest job of the century, every data professional knows that it’s not all glitz and glam. There are plenty of steps between getting […].

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6 Essential Data Visualization Python Libraries – Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot

Analytics Vidhya

Introduction “Visualization gives you answers to questions you didn’t know you had.” – Ben Shneiderman My day-to-day work as a Data Scientist requires a. The post 6 Essential Data Visualization Python Libraries – Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot appeared first on Analytics Vidhya.

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Analytics Translators, You Have Permission.

Juice Analytics

In our data storytelling workshops, I like to discuss the emerging role of ‘analytics translators.’ McKinsey Global Institute estimates that demand for translators in the United States alone may reach two to four million. ( Source ) But the term "translator" gives the impression that the role is about faithful transformation of data into a human-understandable form.

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The Value of Enterprise Architecture to Innovation and Digital Transformation

erwin

The value of enterprise architecture to innovation management and digital transformation is clear. Innovation management is about quickly and effectively implementing your organization’s goals through the adoption of innovative ideas, products, processes and business models. Most organizations are beginning to realize that to drive business growth and maintain a competitive advantage, innovation needs to be uncovered, documented and socialized rapidly but with care to ensure maximum value.

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TensorFlow Serving: Deploying Deep Learning Models Just Got Easier!

Analytics Vidhya

Learn about deploying deep learning models using TensorFlow Serving How to handle post-deployment challenges like swapping between different versions of models using TensorFlow Serving. The post TensorFlow Serving: Deploying Deep Learning Models Just Got Easier! appeared first on Analytics Vidhya.

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Zendesk - Help Your Customers Help Themselves with AI

Corinium

With the variety of ways that customers reach out for support—like via email, calling over the phone, initiating a live chat—it makes sense for companies to invest in an omnichannel experience. But given that most customers would prefer to solve issues on their own, what’s the best way to give them the opportunity to do so across multiple support channels?

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How to Achieve High-Accuracy Results When Using LLMs

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

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Building Your First Model with Azure Machine Learning

Data Science 101

The first course in the Mastering Azure Machine Learning series has launched. It focuses on building your first model with Azure Machine Learning. This is a great place to start if you are brand new to Azure Machine Learning. In particular, you will learn the following. Create an Azure Machine Learning workspace Create a compute instance for machine learning Use Jupyter Notebooks within that compute Monitor the progress of machine learning experiments you are building.

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A Thinker’s Guide to Artificial Intelligence

Perceptual Edge

I just finished reading the book about Artificial Intelligence (AI) that I’ve been craving for years: Artificial Intelligence: A Guide for Thinking Humans , by Melanie Mitchell. More than any other book on this hot but largely misunderstood topic, this book describes AI in clear and accessible terms. It cuts through the hype to present a sane assessment with no agenda apart from a desire to inform.

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6 Open Source Data Science Projects for Boosting your Resume

Analytics Vidhya

Overview Open-source data science projects are a great way to boost your resume Try your hand at these 6 open source projects ranging from. The post 6 Open Source Data Science Projects for Boosting your Resume appeared first on Analytics Vidhya.

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Analyzing GDPR Fines – who are largest violators?

KDnuggets

Fines from the GDPR have been rolling in since its inception in 2018. This article investigates who are the largest penalty recipients by country, the amounts, and private individuals.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

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.

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The tech and people of AI

Data Science 101

The tech and people of AI are presented nicely in this infographic. There is tons of information in here, so take your time. Plus, leave a comment with any details you find surprising or interesting. You can also find more infographics at Visualistan. Also, Data Science 101 has posted many other data-specific infographics. The post The tech and people of AI appeared first on Data Science 101.

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Women on the rise in Data Science

IBM Big Data Hub

IBM Data Science and AI Elite team members Mehrnoosh Vahdat and Rachael Dottle were just one month into their IBM careers when they received their first assignment last July. . The project jettisoned them into the heart of Africa, where their banking client was looking to surface new business opportunities across the subcontinent. Their mission was to generate a proof of concept designed to enhance the value of data science and inject the results into workflows for business users and clients.

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10 Powerful Talks by Women in Data Science [Women’s Day Special!]

Analytics Vidhya

Happy Women’s Day to all the wonderful, curious, and passionate women out there! Analytics Vidhya is celebrating the power of women in data science. The post 10 Powerful Talks by Women in Data Science [Women’s Day Special!] appeared first on Analytics Vidhya.

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Why Disciplined Agile?

TDAN

This article explores why you should consider adopting the Disciplined Agile (DA) toolkit from several points of view: Why Should Agile Practitioners Adopt Disciplined Agile? ————————————————————————- There are several reasons why an agile practitioner should be interested in the Disciplined Agile (DA) toolkit: DA is agnostic and pragmatic.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

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.

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Cloud Data Science 9

Data Science 101

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. News. Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3. They are promoting it as the Silicon Slopes region, so that is good news if you or your customers are near that location.

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Fast.AI founder Jeremy Howard Releases Free Benefits: Course Notes Worth $2,000

FineReport

Free course: The good news is: Lecture notes for a $ 2,000 online AI course are now open source! Former Kaggle chief scientist and founder of fast.AI, Jeremy Howard, who has been working on AI education, released free benefits and announced his AI course lectures this spring at the University of San Francisco. The notebook code for the course is now available and for free.

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Learn How to use the Transform Function in Pandas (with Python code)

Analytics Vidhya

Introduction The Transform function in Pandas (Python) can be slightly difficult to understand, especially if you’re coming from an Excel background. Honestly, most data. The post Learn How to use the Transform Function in Pandas (with Python code) appeared first on Analytics Vidhya.

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Outcome-Based Claims Assignment: The “New Grail” of Insurance

DataRobot

If you’re a commercial insurer, how do you evaluate your claims personnel? How do those evaluations impact your decisions on how to deploy individual adjusters?

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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The Data Behind: Helping Healthcare Get Better

Sisense

Blog. Today, every industry is data-driven. In The Data Behind , we dig into the data creating change in rapidly evolving industries. Healthcare is experiencing a digital transformation, shifting how the medical ecosystem operates and the way that care is delivered. And all of this change comes down to one little word: data. In 2013 , the healthcare industry produced 153 exabytes of data; in 2020, that volume is estimated to increase over 15-fold to 2,314 exabytes.

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In-Memory Data Advantages

Paris Technologies

In-memory database systems are designed explicitly to get the most out of memory and for its performance advantage. Learn about in-memory database and how you can leverage it for analytics.

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One-Hot Encoding vs. Label Encoding using Scikit-Learn

Analytics Vidhya

What is One-Hot Encoding? When should you use One-Hot Encoding over Label Encoding? These are typical data science interview questions every aspiring data scientist. The post One-Hot Encoding vs. Label Encoding using Scikit-Learn appeared first on Analytics Vidhya.

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IBM Cloud Pak for Data DataOps capabilities grow with innovative technology partners

IBM Big Data Hub

As an open, Kubernetes-based, data and AI platform, IBM Cloud Pak for Data integrates with an array of technology solutions that enhance organizations’ ability to make their data ready for AI.

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Optimizing The Modern Developer Experience with Coder

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.

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Automate Data Workflows with the New Sisense Data Model APIs

Sisense

Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. McKinsey famously said that “APIs are the connective tissue in today’s ecosystems [of technologies and organizations] … and have now become a significant engine of business growth.”.

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The Customer Journey to Decision Optimization

Decision Management Solutions

Balancing key profit drivers such as revenue, risk, & costs is central to success in lending and many other high volume, transactional decisions targeted with Decision Management. The decision improvement lifecycle is central to delivering the full value of decision management. Being able to rapidly and effectively execute decisions, monitor their effectiveness, learn what works (and what does not), and iteratively improve your decision-making results in significant business benefit.

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Three Key Considerations for Solving Property Management’s Financial Reporting Challenges

Jet Global

Do you struggle with your financial reporting on Yardi, and find yourself spending hours downloading data and customizing reports? Are you frustrated with relying on IT or consultants to create your reports, and encountering delays and missed deadlines? Many finance teams using Yardi property management solutions find that they spend excessive amounts of their time on manual reporting tasks, which is exacerbated by the extensive number of reports required for banking and investment accounting.

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What Makes Good Data Science?

Dataiku

Different people across an organization might have different definitions for what makes good data science. For data leaders, it might be impact on the business, while for people like data scientists or engineers, it might be more detailed and nuanced - like the quality or accuracy of the model. How can everyone across the organization find common ground for what makes good data science?

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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?