Sat.May 04, 2019 - Fri.May 10, 2019

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Introduction To The Basic Business Intelligence Concepts

datapine

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. According to Better Buys, 85% of business leaders feel that using big data to their advantage will significantly improve the way they run their companies – and they’re not wrong.

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Algorithms and Regulations: Tips for Success

Decision Management Solutions

Cathy O’Neill wrote an interesting piece on regulating automated decision making recently. I am not going to argue about whether use of algorithms should or should not be regulated because I think it is inevitable that they will be. The question is how companies should respond to these regulatory efforts as they are rolled out to ever more consumer-facing decisions.

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Real Talk with A Data Scientist: The Future of Data Wrangling

Data Science 101

Sponsored Post by T.J. DeGroat of Springboard. At Springboard , we recently sat down with Michael Beaumier, a data scientist at Google, to discuss his transition into the field, what the interview process is like, the future of data wrangling, and the advice he has for aspiring data professionals. The full video Q&A is below, but here are some of the highlights.

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Data Literacy in the Era of Algorithms

DataRobot Blog

by Jen Underwood. Artificial intelligence (AI) and machine learning can deliver unprecedented value to the business. Unfortunately, fantastic findings often get lost in translation. From expressing metrics in unfamiliar terminology to presenting odd. Read More.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify

Analytics Vidhya

Introduction I love descriptive statistics. Visualizing data and analyzing trends is one of the most exciting aspects of any data science project. But what. The post Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify appeared first on Analytics Vidhya.

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Real-time entity resolution made accessible

O'Reilly on Data

The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies. In this episode of the Data Show , I spoke with Jeff Jonas , CEO, founder and chief scientist of Senzing , a startup focused on making real-time entity resolution technologies broadly accessible. He was previously a fellow and chief scientist of context computing at IBM.

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Rating the Vendors for Collaborative Analytics

David Menninger's Analyst Perspectives

I am happy to share some insights gleaned from our latest Value Index research, which provides our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Collaborative Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research and expertise, we apply a structured research methodology built on evaluation categories that are designed to reflect t

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A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization

Analytics Vidhya

Introduction “How did your neural network produce this result?” This question has sent many data scientists into a tizzy. It’s easy to explain how. The post A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization appeared first on Analytics Vidhya.

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5 Types of AI to Propel Your Business

ScienceSoft

Explore five different types of artificial intelligence (AI) – analytic, interactive, text, visual and functional – and get inspired by real-life business examples of AI in action.

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How fast-growing digital natives can innovate and scale

Corinium

Companies that have already adopted digital technology face a unique set of opportunities and challenges. Often born digital, they tend to be comfortable viewing their support software as a platform that can be extended using apps, APIs, and integrations - an advantage, considering the extremely high ticket volumes they handle, and their customers’ expectations of an effortless support experience.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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6 Ways AI is Transforming Marketing Forever

Smart Data Collective

If you’re a marketer or business owner in today’s competitive marketplace, you’ve probably tried just about everything you can think of to maximize your success. You’ve dabbled in digital marketing, visited trade shows, paid for print advertising, and incentivized customer testimonials. It’s probably resulted in lots of stress, sleepless nights, and CBD oil drops to give you the energy and focus to keep going.

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A Practical Introduction to Prescriptive Analytics (with Case Study in R)

Analytics Vidhya

This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction “What are the different branches of analytics?” Most of us, when we’re. The post A Practical Introduction to Prescriptive Analytics (with Case Study in R) appeared first on Analytics Vidhya.

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McDonald's Turns to AI for a Better Burger

Dataiku

While Burger King may still be poking fun at AI following their robot commercials last year, other burger titans embrace AI as the next step in their evolution. This year, Wendy’s announced that it’s adding $25 million to its digital budget, while McDonald's took things to the next level when they purchased a marketing AI startup for over $300 million, their largest acquisition this century.

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Interview with Pat Dever

Corinium

Avista’s Chief Data Strategist Patrick Dever says that to empower other business units, CDOs have to convince stakeholders, and make data more accessible.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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How To Solve The Data Management Challenge Of Self-Driving Cars

Smart Data Collective

Self-driving cars and trucks once seemed like a staple of science fiction which could never morph into a reality here in the real world. Nevertheless, the past few years have given rise to a number of impressive innovations in the field of autonomous vehicles that have turned self-driving cars from a funny idea into a marketing gimmick and finally into a full-fledged reality of the modern roadway.

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How to Understand a DataRobot Model [eBook]

DataRobot

As more and more companies rely on AI , people are questioning whether or not AI can be trusted. Business reputations are damaged when inscrutable black box AI systems make mistakes or make biased decisions. To avoid these issues, organizations are seeking out ways to apply best practices of AI governance to ensure that AIs are following business rules and making sensible and trustworthy decisions.

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How Will Machine Learning and AI Change My Organization?

Dataiku

Whether businesses have a specific aversion to change or they simply find change too difficult to manage, the bottom line is that it holds companies back. Yet in the age of machine learning and AI, change is the new normal that the average enterprise will have to embrace. Here are the top ways that new technologies will impact your organization (whether you plan for it or not).

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The Insights Beat: Spring Into Action With Your Insights

Srividya Sridharan

(Aldila Yunus and Jeremy Vale contributed to this blog post.) It’s official: spring has sprung. The barren trees show signs of vitality and fresh blossoms fill the air with their entrancing aromas once more. Dynamic shifts in our environs abound. Finally we can shake off the winter blues and welcome the optimism that comes with […].

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Local Marketers Discover Perks Of Merging Big Data And Google Reviews

Smart Data Collective

We have published a number of glowing articles on the benefits of big data in the world of marketing. However, many of these tutorials focus on the general benefits of big data, rather than specific, data-driven marketing strategies. One of the ways that big data is transforming local marketing is by optimizing Google Reviews. We were pleased to hear from Michael Del Gigante, the CEO of MDG Advertising.

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Top 10 Power BI Blogs of 2019

Jet Global

Since its initial release in 2016, Power BI has quickly become the talk of the town in business intelligence and analytics circles, and rightly so! Its data visualizations provide easily digestible insights into your business via robust, interactive dashboards. We’re lovers of all things data, and blogs about Power BI are no exception. We are proud to announce our first list of Top 10 PBI Blogs for 2019 to help you harness the raw power of Power BI as well as your other BI needs.

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Understanding Demand Forecasting And Then Mastering It

BizAcuity

Businesses in every industry are facing increasing demand volatility. Additionally, with rapidly evolving market conditions, it has become vital for businesses to stay prepared and anticipate the future. To cater to these fast-changing market dynamics, the practice of demand forecasting began. Today, several businesses, especially those belonging to the FMCG sector, have sophisticated demand forecasting models in place, which help them stay ahead of the market.

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Is Your AI Project About Customer Experience or About Business Decisions?

Decision Management Solutions

Many organizations are investing in artificial intelligence (AI) initiatives these days. However, many are also lumping all of the uses of AI into the same program. This is a terrible idea because AI technologies are being used for two very different business outcomes. AI success relies on a clear focus on business outcomes rather than on the technology itself.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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These Bitcoin Platforms Are Using Big Data To Redefine Cryptotrading

Smart Data Collective

Big data is having a huge effect on the future of cryptocurrency markets around the world. A growing number of companies are leveraging big data to streamline cryptotrading and improve security and customer satisfaction. Big Data Made Simple wrote a very helpful post about the benefits of using big data to facilitate the cryptocurrency trading market.

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11 Important KPIs for a Highly Effective HR Manager

Jet Global

As the competition for talent grows, workplaces around the world are facing pressure to attract, engage, and retain employees. Under scrutiny to demonstrate the value they add to a company’s strategy, many human resources (HR) departments are turning to analytics supported by key performance indicators (KPIs) and metrics. Assessing HR Goals. HR managers are responsible for balancing the needs and goals of both the company and the workforce.

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Managing Emerging Technology Disruption with Enterprise Architecture

erwin

Emerging technology has always played an important role in business transformation. In the race to collect and analyze data, provide superior customer experiences, and manage resources, new technologies always interest IT and business leaders. KPMG’s The Changing Landscape of Disruptive Technologies found that today’s businesses are showing the most interest in emerging technology like the Internet of Things (IoT) , artificial intelligence (AI) and robotics.

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Using Transfer Learning for NLP with Small Data

Insight

Text classification has numerous applications, from tweet sentiment, product reviews, toxic comments, and more. It’s a popular project topic among Insight Fellows, however a lot of time is spent collecting labeled datasets, cleaning data, and deciding which classification method to use. Services like Clarifai , and Google AutoML have made it very easy to create image classification models with less labeled data, but it’s not as easy to create such models for text classification.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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#MSBuild Azure Open Datasets

Jen Stirrup

Nearly three years ago, I complained bitterly about the demise of Windows Datamarket , which aimed to provide free, stock datasets for any and every purpose. I was a huge fan of the date dimension and the geography dimension, since they really helped me to get started with data warehousing. So I’m glad to say that the concept is back, revamped and rebuilt for the data scientists today.

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What good are notebooks? Bridging the data science skills gap with collaboration

IBM Big Data Hub

Predictive modeling and analytics have long been the domain of the data scientist and only the data scientist. But with modern tools, data science is becoming a team sport—business analysts and subject matter experts can join the analysis. While the players may have different skill sets and processes, in the world of predictive analytics, collaboration between them can position an entire team to win with data science.

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Hot New Data and Analytics Research List

Andrew White

Our team expanded a few months ago and we welcomed some folks who focus on client-driven research. The team has been busy and now has a library of important, timely, relevant content. This material often includes case studies and increasingly will be interwoven with our other data and analytics research. Here is a page where our new team will keep an updated of such research: Chief Data and Analytics Officer Research Publication List.

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Automate your Flask Deployments on AWS

Insight

In an ideal world, data scientists would focus their time on analysis and modeling, but there is often seemingly unavoidable overhead in visualizing and presenting their results. Because data scientists generally don’t have an infrastructure background, they often struggle to build out servers and use tools to visualize their modeling and analysis. At Insight , Fellows have to manually set up a web server on an Amazon cloud EC2 instance to deploy a Flask app to showcase their projects, which can

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.