Smart Data Collective

JULY 17, 2019

Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. The benefits of this are threefold: Artificial intelligence-driven robots reduce the need for human workers. The senior care industry is undergoing a massive transformation.

Machine Learning 84

Machine Learning Cost-Benefit Advertising IoT 84

datapine

MAY 9, 2019

“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.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

KDnuggets

SEPTEMBER 11, 2019

Data Driven Government is coming to Washington, DC, Sep 26, and includes a stellar lineup of experts who will share the emerging trends and best practices of government agencies in the current use of data analytics to enhance mission outcomes. Use code KDNUGGETS to get 15% off.

Data-driven 82

Data-driven Data Analytics Analytics Predictive Analytics 82

KDnuggets

AUGUST 15, 2019

The lineup of experienced, thought-leading speakers at Data Driven Government, Sep 25 in Washington, DC, will explain how to use data and analytics to more effectively accomplish your mission, increase efficiency, and improve evidence-based policymaking.

Data-driven 72

Data-driven Analytics Predictive Analytics 72

Smart Data Collective

SEPTEMBER 7, 2021

Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers. Big data is a not new concept, and it has been around for a while.

Big Data 127

Big Data Technology Predictive Analytics Cost-Benefit 127

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Sisense

JUNE 9, 2021

Here at Sisense, we’re particularly excited because the tournament is more than just a festival of skill and athleticism; it’s a clash of analytics insights. In the modern game, analytics is an essential part of a winning formula that has revolutionized football teams and the way they play. We can’t wait!

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Sisense

JUNE 30, 2020

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Data visualization: painting a picture of your data. Thomas, and Kristin A.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Smart Data Collective

OCTOBER 11, 2023

We mentioned that Python is one of the best programming languages for data science and AI applications. The following YouTube video, titled “Machine Learning and AI for Angular Developers” by Jerry Kurata was conducted at the NG-MY Conference in 2019.

Machine Learning 108

Machine Learning Interactive Predictive Analytics Data-driven 108

Jedox

JANUARY 16, 2019

It gives me a chance to pause and review all the places I’ve been, all the CFOs I spoken with, and all the companies I’ve worked with over the past twelve months, to refine and distill what I believe are the top technological trends for financial planning & analysis in 2019. 1: Predictive Analytics. FP&A Trends No. #1:

Finance 45

Finance Forecasting Predictive Analytics Cost-Benefit 45

Decision Management Solutions

DECEMBER 12, 2018

Bill Franks, Tom Davenport and Bob Morison of the International Institute for Analytics recently published their 2019 Analytics Predictions & Priorities. They had some great predictions and suggested priorities around the ethics of analytics, the value of data and the use of AI in fraud and cybersecurity.

Analytics 40

Analytics Predictive Analytics Modeling Data Science 40

Smart Data Collective

JUNE 7, 2019

One of the most fascinating things about big data is its ability to optimize the design of products that have pre-dated digital technology by centuries. Improvements were needed for imaging and data storage. Fujitsu has recently started embracing the benefits of big data. One of the most interesting examples is with magnets.

Big Data 78

Big Data Cost-Benefit Predictive Analytics Manufacturing 78

Smart Data Collective

MARCH 16, 2022

Last year, in an article that talked about the impact big data has on finance, we said that location data sets can make investing easier. Companies spent nearly $11 billion on financial analytics in 2020. A large portion of this market is driven by investment companies and mutual funds. Big Data & Investment Today.

Big Data 111

Big Data Deep Learning Finance Data-driven 111

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. The last 10+ years or so have seen Insurance become as data-driven as any vertical industry.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. Data limitations in Microsoft Excel.

Analytics 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today?

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today?

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

Smarten

AUGUST 23, 2022

To answer this question, we first need to understand the difference between standard natural language processing in analytics (AKA Dumb NLP) and context-driven searching using natural language processing (AKA Intuitive NLP). It recognizes the data in the column or field but not the context. It’s that simple.

Data-driven 78

Data-driven Sales Optimization Machine Learning 78

Smart Data Collective

FEBRUARY 5, 2021

Data analytics has made forex trading easier than ever. Unfortunately, some traders are reluctant to take advantage of these opportunities, because they don’t know how to use new data analytics tools to their advantage. AI and Data Analytics Changed Forex Trading Forever.

Data Analytics 109

Data Analytics Analytics Big Data Predictive Analytics 109

Smart Data Collective

SEPTEMBER 15, 2019

Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever. Here are some ways big data can help.

Big Data 79

Big Data Optimization Insurance Predictive Analytics 79

Sisense

JULY 29, 2020

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. We’ll see how.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Smart Data Collective

JULY 22, 2019

A study by Juniper Research estimates that they will cost global companies $2 trillion in 2019! They use a variety of machine learning and predictive analytics models to target new marks and reach them more effectively. Others use AI driven malware tools, such as keyloggers to intercept the passwords of users.

Machine Learning 71

Machine Learning Predictive Analytics Consulting Data-driven 71

Smarten

MAY 18, 2022

If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find and analyze data. Business goals include improving results and productivity, and getting the best results out of your data, as well as gaining meaningful insight into data.

Data-driven 69

Data-driven Sales Metrics Analytics 69

Smart Data Collective

MAY 2, 2019

Small businesses are looking to big data to get an edge against their more established competitors. Big data is becoming more important in the new economy. Without a stellar big data strategy in place, many businesses are doomed to the day they open their doors. Big Data is Redefining Small Business Marketing.

Big Data 77

Big Data Marketing Sales Strategy 77

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Proprietary (often GUI-driven) data science platforms. Code-first data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. AI Adoption and Data Strategy. Source: TCS).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smart Data Collective

AUGUST 15, 2019

AI can predict the CTR of future ads, as well as the impact on quality scores. A growing number of advertising networks are using historical data to predict the likelihood of a conversion from a given customer. Machine learning and predictive analytics are changing the field of PPC in fantastic ways.

Optimization 67

Optimization Strategy Advertising Machine Learning 67

Sisense

MAY 31, 2020

Every conversation with a customer is a chance to deepen our relationship and help them get more out of their data. Using real data from the customer’s own sources gives us a true understanding of their technical and business needs. We know our customers’ success is our success.

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

Jet Global

OCTOBER 16, 2019

We all know how it is: Collecting and analysing thousands of data points is arduous, and anyone would welcome ways to make everything easier to save time and money. As we make our way to the end book one, robotic process automation becomes the protagonist (automating and speeding-up data entry tasks).

Finance 58

Finance Data-driven Reporting Digital Transformation 58

Hurwitz & Associates

APRIL 2, 2019

Hybrid clouds and multi-clouds, spanning enterprise data centers, private clouds and public clouds, are placing a new set of requirements on customers’ storage systems. To do this, IBM is emphasizing the need to “visualize” data resources – and to embed AI and ML technology into the offering to help extend the capabilities of IT staff.

Software 56

Software Enterprise Snapshot Management 56

Sisense

AUGUST 19, 2020

The right use of data changes everything. Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. These insights have helped improve machine learning models with more precise data.

Big Data 52

Big Data Machine Learning Digital Transformation Data-driven 52

BizAcuity

APRIL 25, 2022

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 Thanks to data analytics, these decisions can now be backed by data. Real-time decisions can be taken in line with data insights. It also brought to the fore, the debate around online betting and games of chance.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

MARCH 8, 2022

When it comes to analytics, many systems require IT or programming knowledge to write queries, or the solutions are restrictive and designed to try to anticipate what users will want to know. To truly understand the value of context-searching in NLP, let’s look first and what is commonly used in analytics and business intelligence today.

Data-driven 69

Data-driven Business Intelligence Sales Analytics 69

CIO Business Intelligence

JUNE 5, 2024

Few sports are so closely associated with data analytics as baseball. In 2015, Major League Baseball revolutionized a sport already known for its sophisticated use of data with MLB Statcast, a tracking technology that collects enormous amounts of game data.

Optimization 125

Optimization Predictive Modeling Data-driven Modeling 125