Sat.Aug 10, 2019 - Fri.Aug 16, 2019

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Why Sports Analytics Matters

DataRobot

A few weeks ago, one of my favorite webcomics, Math with Bad Drawings , posted a comic in response to his other post, “ Why Baseball Statistics Matter”. I really enjoyed Ben Orlin’s explanation because it combines my passion for both baseball and data science. Further, it really resonates with the challenges I’ve seen many companies face as they work to incorporate data science throughout their businesses, as well as the experiences I have had working with various sports teams as they begin usin

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Explaining Data Teams to HR

Juice Analytics

The importance of a good team to build data solutions can’t be underemphasized. If you’ve read anything like Francois Ajenstat ’s recent Forbes article or Roger Pen’s e-book on building data science effective teams you get many of the key points; however I would argue that in addition to these points you need to invest time with your Human Resources (HR) team and make them an integral part of the success.

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The Power of Prioritization in Data Management

Teradata

Find out how the early architectural decisions surrounding the Teradata Database are still making a critical contribution to performance today. Read more!

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Data Visualisation according to a Four-year-old

Peter James Thomas

Click to view a larger version in a new window. When I recently published the latest edition of The Data & Analytics Dictionary , I included an entry on Charts which briefly covered a number of the most frequently used ones. Given that entries in the Dictionary are relatively brief [1] and that its layout allows little room for illustrations, I decided to write an expanded version as an article.

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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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Statistical Modelling vs Machine Learning

KDnuggets

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.

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5 Business Expenses That Data Can Help Reduce

Smart Data Collective

No matter what industry you’re in, identifying creative ways to cut costs is always an important goal. From small startups to major corporations, cost-saving tactics should be an important area to explore. Even when your business cost and costs of production aren’t growing exponentially, chances are everything around you is. Cost of living is rising; customer acquisition is more difficult than ever in such a competitive landscape; and suppliers are looking to increase their profits by upcharging

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Historical Databases: Becoming a Thing of the Past?

David Menninger's Analyst Perspectives

Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.

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Labeling, transforming, and structuring training data sets for machine learning

O'Reilly on Data

The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel. In this episode of the Data Show , I speak with Alex Ratner , project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting and extending the Snorkel project.

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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amo

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A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code

Analytics Vidhya

Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at. The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya.

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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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Five Ways AI is Changing Customer Service

Corinium

AI is transforming the customer service profession. Gartner predicts that 15% of all customer service interactions will be handled using AI by 2021. That means half of all enterprises could be spending more on AI than traditional mobile within two years.

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How to Become More Marketable as a Data Scientist

KDnuggets

As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.

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Enterprise Architecture Tools Are Key to Managing Ideation and Innovation

erwin

Organizations largely recognize the need for enterprise architecture tools, yet some still struggle to communicate their value and prioritize such initiatives. As data-driven business thrives , organizations will have to overcome these challenges because managing IT trends and emerging technologies makes enterprise architecture (EA) increasingly relevant.

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Innoplexus Sentiment Analysis Hackathon: Top 3 Out-of-the-Box Winning Approaches

Analytics Vidhya

Overview Hackathons are a wonderful opportunity to gauge your data science knowledge and compete to win lucrative prizes and job opportunities Here are the. The post Innoplexus Sentiment Analysis Hackathon: Top 3 Out-of-the-Box Winning Approaches appeared first on Analytics Vidhya.

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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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What is the difference between Shared Services today and Shared Services in 2007?

Corinium

In 2007 I was asked to produce an event around shared services. I was awe struck at how many developments there were in the industry at that time. There was all this talk about significant cost benefits, enhanced service quality and manageable challenges. This was an exciting time. Companies were challenging common business models as they had to restructure their business due to decreasing customer loyalty and margin erosion.

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12 NLP Researchers, Practitioners & Innovators You Should Be Following

KDnuggets

Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.

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The rise of AI in the digital era kicks into high gear

Smart Data Collective

We are no strangers to technological advancement. We are positively immersed and surrounded in it. It seems that no matter where one looks, there is the prominent force of technology and rapid digitalisation present in some way. The digital era is well and truly here, and we are becoming increasingly familiar and reliant on it. We wake up and reach for our smartphones, we book our rides to the office on them, order our food on them, do our work on them… It is something that we cannot escape, as

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Want to Know The Latest on AI? Read These Books!

Bruno Aziza

Readers of this column know that Artificial intelligence (AI) is hot. Managing Director at Redpoint Capital’s Tomasz Tunguz pointed out this past week that there were no AI startups eight years ago and that today, there are 400!

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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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Top 5 use cases for an open CRM platform

Corinium

Customer relationship management (CRM) is about knowing every critical piece of information about your customers. It’s absolutely necessary to have a CRM platform that can harness and manage data about your customers, no matter where it comes from. It’s not enough to just have customer data—a business also needs to be able to use it to create better customer experiences.

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6 Key Concepts in Andrew NG’s “Machine Learning Yearning”

KDnuggets

If you are diving into AI and machine learning, Andrew Ng's book is a great place to start. Learn about six important concepts covered to better understand how to use these tools from one of the field's best practitioners and teachers.

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Big Data Analytics Is The 21st Century’s Biggest Disruptor In Healthcare

Smart Data Collective

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. The field of big data is going to have massive implications for healthcare in the future. Here are some changes on the horizon.

Big Data 101
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AI – The online gaming industry’s new game-changer

BizAcuity

Artificial intelligence – We’ve all heard about it. It’s everywhere, in your cell phone, your social media apps, Amazon Alexa, Google Assistant – you name it. Let’s just agree that it’s become a norm in the technology space and is destined to make an appearance in almost every area of our lives in the coming years.

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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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Putting the Business back into Business Intelligence: reduce Data Debt by reconciling IT Department with Finance Professionals

Jen Stirrup

It’s ironic that there are so many technical tools ways to communicate, there are still problems in achieving effective internal communication in companies. This is particularly evidence in relationships between Finance and IT. In this topic, the issues will be explored further The issue with having so many technical tools is that the quantity of communication may increase, so this can give the appearance that communication is going well.

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Understanding Cancer using Machine Learning

KDnuggets

Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis.

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Why Neil Patel And Other SEO Gurus Embrace Big Data

Smart Data Collective

Big data strategies are playing a vital role in the future of SEO. Some of the most prominent SEO thought leaders are offering new insights into the role of big data in digital marketing. Neil Patel is one of the biggest SEO influencers in the world. He has written about the importance of big data. He has also been praised by Forbes and other publications for his utilization of big data for small businesses.

Big Data 101
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How did I learn Data Science?

MLWhiz

I am a Mechanical engineer by education. And I started my career with a core job in the steel industry. But I didn’t like it and so I left that. I made it my goal to move into the analytics and data science space somewhere around in 2013. From then on, it has taken me a lot of failures and a lot of efforts to shift. Now, people on social networks ask me how I got started in the data science field.

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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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The Insights Beat: The Times They Are A-Changin’

Srividya Sridharan

Come gather ’round, people, wherever you roam And admit that the waters around you have grown And accept it that soon you’ll be drenched to the bone If your time to you is worth savin’ Then you better start swimmin’ or you’ll sink like a stone For the times they are a-changin’ — Bob Dylan The […].

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Learn how to use PySpark in under 5 minutes (Installation + Tutorial)

KDnuggets

Apache Spark is one of the hottest and largest open source project in data processing framework with rich high-level APIs for the programming languages like Scala, Python, Java and R. It realizes the potential of bringing together both Big Data and machine learning.

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How To Use Artificial Intelligence To Create Websites That Thrive

Smart Data Collective

The field of artificial intelligence has made a massive footprint on the web design profession. There are a lot of great website builders that use advanced AI technology. You need to choose the right one. Using AI to Create Powerful Websites. Creating your own website may sound difficult, but today there are so many different website builders that use AI.

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The Inside Scoop on Upcoming Documentary "Data Science Pioneers"

Dataiku

The data science community is in a period of rapid change, and the upcoming documentary Data Science Pioneers - made by and for data scientists - will be the first to capture both this excitement and uncertainty. In anticipation of the documentary's highly anticipated release, we sat down with Florian Douetteau, CEO of Dataiku, to discuss how the role of data scientist has changed and how to maintain a supportive and open community grounded in understanding, collaboration, and shared knowledge.

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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?