Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. We are honored to receive recognition as a leader from Forrester for Cloudera Machine Learning (CML) — our enterprise machine learning experience for Cloudera Data Platform (CDP).

Machine Learning 89

Machine Learning Predictive Analytics Analytics Enterprise 89

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

Smart Data Collective

JANUARY 27, 2021

Machine learning technology has made cryptocurrency investing opportunities more lucrative than ever. The impact of machine learning on the market for bitcoin and other cryptocurrencies is multifaceted. Investors that take advantage of this technology play a role in accelerating those price patterns.

Machine Learning 138

Machine Learning Forecasting Predictive Analytics Marketing 138

Smart Data Collective

NOVEMBER 13, 2020

Artificial intelligence and data analytics are two of the fasting-growing forms of technology for saving money in the world of business. Big data and predictive analytics can be very useful for these nonprofits as well. They are using predictive analytics to determine new strategies for fundraising and improved reach.

Predictive Analytics 106

Predictive Analytics Analytics Machine Learning Strategy 106

Smart Data Collective

JANUARY 14, 2021

Machine learning has drastically changed the direction of the financial industry. In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms.

Predictive Analytics 81

Predictive Analytics Forecasting Analytics Machine Learning 81

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

Machine Learning 119

Machine Learning Data Architecture Uncertainty Data-driven 119

Decision Management Solutions

SEPTEMBER 29, 2020

Eric Siegel and I had a great discussion about doing Machine Learning BACKWARDS recently – you can watch the recording below or on our YouTube Channel. This discussion was prompted by Eric and I talking about the rate of failure in Machine Learning projects.

Machine Learning 94

Machine Learning Predictive Analytics Modeling Consulting 94

Smart Data Collective

DECEMBER 9, 2020

When most people consider the merits of machine learning, they typically think about its applications from a capitalist standpoint. There are countless ways that business owners are using machine learning advances to pad their bottom lines. They learn to identify numerous risk factors and alert the driver.

Machine Learning 140

Machine Learning Risk Insurance Predictive Analytics 140

Smart Data Collective

NOVEMBER 25, 2020

Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective. This could include machine learning.

Machine Learning 144

Machine Learning Risk Predictive Analytics Forecasting 144

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Complete Set of Analytical Techniques. Access to Flexible, Intuitive Predictive Modeling.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smart Data Collective

JUNE 18, 2021

Machine learning technology has been instrumental to the future of the criminal justice system. We have previously talked about the role of predictive analytics in helping solve crimes. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation.

Predictive Analytics 67

Predictive Analytics Forecasting Analytics Big Data 67

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

BizAcuity

APRIL 28, 2019

And for that, they are looking up to new-age technologies. Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. One such technology is Artificial Intelligence.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

Sisense

FEBRUARY 18, 2021

Predictions like those, indeed predictive analytics itself, rely on a deep understanding of the past and present, expressed by data. New to the idea of predictive analytics? Defining predictive analytics. Predictive analytics use data to create an outline of the future.

Predictive Analytics 66

Predictive Analytics Business Intelligence Analytics Manufacturing 66

Smart Data Collective

NOVEMBER 14, 2019

They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior. They have developed analytics models to address looming changes in the dynamic industry.

Predictive Analytics 78

Predictive Analytics Analytics Forecasting Modeling 78

CIO Business Intelligence

SEPTEMBER 5, 2023

We are living through a unique moment where two transformative technologies for business are converging. Any new technology only has value when it can be integrated seamlessly across systems and processes so organizations can do things they couldn’t do before. In other words, it’s never about the new technology itself.

Technology 105

Technology Predictive Modeling Predictive Analytics Forecasting 105

CIO Business Intelligence

JULY 20, 2023

To offer customers a shopping experience that is accessible, seamless, and engaging, retail IT leaders must devise revenue-focused strategies that, harness cutting-edge technology to address present and future needs of the business. Frictionless retail These days customer experience is king.

Technology 75

Technology Forecasting Advertising Machine Learning 75

David Menninger's Analyst Perspectives

APRIL 13, 2020

Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line.

Machine Learning 283

Machine Learning Predictive Analytics Analytics Finance 283

Smart Data Collective

SEPTEMBER 27, 2021

Big data technology has had an enormous impact on many sectors. Modern advances in big data technology, the internet, and the arrival of the digital age have been the driving forces behind a true revolution in the ways we communicate that the world has experienced over recent years. Advanced Technology Trading Terminals.

Big Data 106

Big Data Technology Forecasting Machine Learning 106

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Machine Learning is the Key to Saving the Ailing Airline Industry.

Machine Learning 63

Machine Learning Cost-Benefit Strategy Marketing 63

Smart Data Collective

SEPTEMBER 24, 2019

However, early AI technology was not well-suited for solving the countless challenges robots needed to solve. A new generation of robots depend on machine learning technology. Machine learning has made them more responsive and boosted their capabilities in countless ways. More advanced computerized vision.

Machine Learning 73

Machine Learning Cost-Benefit Predictive Analytics Software 73

Smart Data Collective

JUNE 20, 2019

They should use the latest technology to have a competitive edge in the market. New technology has always been at the forefront of the financial industry. The emergence of flash trading is a prime example of a new technology that hurts short term traders. The same can be said about predictive analytics.

Predictive Analytics 56

Predictive Analytics Analytics Machine Learning Risk 56

CIO Business Intelligence

FEBRUARY 28, 2024

Healthcare technology innovation is poised to revolutionize the medical landscape. At the forefront of this transformation lies biological digital twin (bio digital twin) technology. Essentially, the technology involves the replication of the human body in software models.

Informatics 121

Informatics Data-driven Digital Transformation Predictive Analytics 121

Jedox

JULY 17, 2018

It is the people who are using and embracing these new technologies – simply because it makes their lives easier, safer, and more enjoyable. Many of us already profit from machine learning or artificial intelligence – often without even thinking about it. Empowering FP&A to make faster and better business decisions.

Machine Learning 46

Machine Learning Technology Digital Transformation Predictive Analytics 46

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions.

Marketing 86

Marketing Technology Advertising ROI 86

Decision Management Solutions

MAY 1, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance”. That post, referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , Predictive analytics can make a significant impact on lowering risk. Sell More , 2. Manage Risk Better , and 3.

Insurance 75

Insurance Technology Predictive Analytics Risk 75

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Retail stores and smart homes can use AI at the edge technology to personalize user experiences. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%

Forecasting 98

Forecasting Optimization Advertising IoT 98

IBM Big Data Hub

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime. The use of digital twins is one such innovation.

Technology 57

Technology Cost-Benefit Optimization Internet of Things 57

Rocket-Powered Data Science

MARCH 19, 2021

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.” trillion by 2030.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). Limitations of common approaches to analytic projects.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Smart Data Collective

JULY 24, 2023

The Intersection of AI and VMS AI has penetrated virtually every aspect of business operations, from customer service to human resources, and VMS is a prime candidate for the application of AI technologies. Key AI Technologies Enhancing VMS Several AI technologies are at the forefront of enhancing VMS.

Management 85

Management Cost-Benefit Data-driven Predictive Analytics 85

Smart Data Collective

MAY 13, 2022

Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient. In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. AI and machine learning.

Business Analytics 133

Business Analytics Analytics Unstructured Data Data-driven 133

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. ChatGPT> DataOps observability is a critical aspect of modern data analytics and machine learning. Query> DataOps.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Smart Data Collective

OCTOBER 11, 2023

AI technology is going to be a lot more important for developing web applications in the near future. Angular Development is Instrumental to Machine Learning Applications on the Web There are a growing number of reasons that developers that want to leverage AI for web applications are using Angular development.

Machine Learning 97

Machine Learning Interactive Predictive Analytics Data-driven 97

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135