Smart Data Collective

JANUARY 14, 2021

In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks.

Predictive Analytics 114

Predictive Analytics Forecasting Analytics Machine Learning 114

Smart Data Collective

APRIL 20, 2019

We can draw a similar conclusion about the relevance of business cards in 2019. Using predictive analytics to continually update business cards. Predictive analytics is one of the most useful advances in big data. Predictive analytics technology can be particularly useful in developing new business cards.

Big Data 103

Big Data Marketing Predictive Analytics IoT 103

Smart Data Collective

JULY 26, 2021

You can use data analytics technology to improve the outcomes of various team models considerably. They are using data analytics to get the most out of their workers. dollars in 2019, accounting for more than 10% of the entire IT market. Main Advantages of a Dedicated Project Team. billion U.S.

Data Analytics 126

Data Analytics Analytics Cost-Benefit KPI 126

CIO Business Intelligence

JUNE 7, 2022

Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

Smart Data Collective

FEBRUARY 28, 2022

In 2019, Science Publishing Group shared a study on the impact of big data on academic libraries. Data analytics has made it a lot easier to manage your social media marketing strategies. You will be able to leverage analytics technology to see what strategies are performing the best.

Big Data 116

Big Data Marketing Strategy Data-driven 116

Decision Management Solutions

MARCH 11, 2019

February 20 th , 2019 W. How do you choose the right analytics”. The analytics technology to use for decision making is very important, but sometimes it’s hard to know how to select the right one for a given situation. Companies make many different kinds of decisions and different decisions require different technology.

Management 74

Management IT Data Science Analytics Technologies 74

CIO Business Intelligence

APRIL 11, 2022

The amount of money lost to card-not-present fraud in 2020 was six times greater than what merchants lost in 2019, according to the Nilson Report. That wasn’t a fluke either, as the 2019 numbers were four times higher than 2018. Just starting out with analytics? Find out more about Intel advanced analytics.

Deep Learning 59

Deep Learning Strategy Risk Machine Learning 59

Smart Data Collective

MAY 28, 2019

Real-time analytics technology can help answer these questions. Real-time Analytics Addresses Call Support Challenges in 2019. On the other hand, a traditional toll number may be the best choice for your business. Which is better? Which one should you use for your business? What Is Your Call Volume Per Month?

ROI 85

ROI Analytics Big Data Predictive Analytics 85

Cloudera

MAY 28, 2019

Gartner, Top 10 Data and Analytics Technology Trends That Will Change Your Business , Rita Sallam , Donald Feinberg , Mark Beyer , W. Roy Schulte , Alexander Linden , Joseph Unsworth , Svetlana Sicular , Nick Heudecker , Ehtisham Zaidi , Adam Ronthal , Erick Brethenoux , Pieter den Hamer , Alys Woodward , 11 April 2019 .

Data Science 50

Data Science Machine Learning Data Strategy Cost-Benefit 50

Alation

FEBRUARY 13, 2020

Unless the focus shifts to these types of activities, we are likely to see the same problem areas in the future that we’ve observed year after year in this survey.” — Big Data and AI Executive Survey 2019. Without a data culture focused on leveraging data to better understand customers, all of that technology investment goes to waste.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

Smart Data Collective

JUNE 30, 2023

According to a 2019 survey by Debt.com , 33% of Americans don’t maintain a budget, but since the pandemic, that number has decreased. They Use predictive analytics technology to better anticipate possible emergencies and the expected costs associated with them.

Insurance 113

Insurance Finance Cost-Benefit Risk 113

O'Reilly on Data

MARCH 19, 2020

Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. Growth in ML and AI is unabated.

Deep Learning 345

Deep Learning Machine Learning Data-driven Modeling 345

Smart Data Collective

MAY 19, 2021

As recently as 2019, the consumption of renewable energy sources in the US grew for a fourth consecutive year, reaching a record 11.5 One of the ways that companies are using data analytics is to identify market growth opportunities. Predictive analytics technology can help anticipate future demand and respond accordingly.

Data Analytics 96

Data Analytics Analytics Big Data Predictive Analytics 96

Decision Management Solutions

FEBRUARY 23, 2025

He is the leading expert in how to use decision modeling, business rules, and analytic technology to deliver Digital Decisioning. For the last 20 years, James has provided strategic consulting to companies of all sizes across all sectors to improve decision-making and effectively adopt advanced analytic technology.

Consulting 52

Consulting Predictive Analytics Analytics Technologies Business Intelligence 52