datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. The trends we presented last year will continue to play out through 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.

IoT 105

IoT Digital Transformation Internet of Things Data-driven 105

CIO Business Intelligence

OCTOBER 4, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax. 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.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

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 93

Predictive Analytics Forecasting Analytics Big Data 93

BizAcuity

APRIL 28, 2019

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. Predictive Analytics, a form of advanced analytics is also making great breakthroughs in the solving the debt collection problem.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

datapine

MAY 14, 2019

Best for: Those looking for a practical means of understanding how artificial intelligence serves to enhance data science and use this knowledge to improve their data analytics strategies. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. 4) “Machine Learning Yearning” by Andrew Ng.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

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 94

Machine Learning Cost-Benefit Strategy Insurance 94

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. Predictive Analytics enhances the Lending Process.

Predictive Analytics 83

Predictive Analytics Analytics Data mining Cost-Benefit 83

TDAN

MARCH 19, 2025

In order to do this, the team must have a dependable plan, be able to forecast results, and create reasonable objectives, goals, and competitive strategies. These plans and forecasts will support investment in technology, appropriate resources and hiring strategies, additional locations, products, services and marketing […]

Predictive Analytics 52

Predictive Analytics Analytics Forecasting Strategy 52

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. We’ve always been trying to predict the future; go back in history to look at prognosticators like Nostradamus and many other prophets. A Brief History of Predictive Analytics. What is Predictive Analytics?

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. Even basic predictive modeling can be done with lightweight machine learning in Python or R. You get the picture.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

datapine

AUGUST 14, 2019

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 amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Analytics Vidhya

JULY 9, 2024

Netflix employs sophisticated data strategies to ensure it’s tough to hit the stop button once you start watching, or you can say Netflix uses Data Science. Introduction Just binge-watched that K-drama over the weekend, and now your Netflix recommendations turn into an eerily perfect lineup of similar shows? That’s no coincidence.

Data Science 336

Data Science Data Strategy Strategy Analytics 336

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

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

CIO Business Intelligence

DECEMBER 10, 2024

Notably, hyperscale companies are making substantial investments in AI and predictive analytics. However, each cloud provider offers distinct advantages for AI workloads, making a multi-cloud strategy vital. Whether its a managed process like an exit strategy or an unexpected event like a cyber-attack.

Strategy 105

Strategy Data-driven Cost-Benefit Machine Learning 105

Smart Data Collective

FEBRUARY 18, 2020

These companies use the widest array of big data and machine learning algorithms to deliver value to their user base. You can also expand your business and your brand and take it international with the right combination of a great website and a data-driven marketing strategy. This wouldn’t be possible without big data.

Strategy 110

Strategy Big Data Cost-Benefit Marketing 110

Smart Data Collective

AUGUST 29, 2022

It can be even more valuable when used in conjunction with machine learning. Machine Learning Helps Companies Get More Value Out of Analytics. There are a lot of benefits of using analytics to help run a business. Analytics has been influencing the income for companies for quite some time now.

Analytics 132

Analytics Predictive Analytics Machine Learning Insurance 132

Rocket-Powered Data Science

MARCH 10, 2020

The book Graph Algorithms: Practical Examples in Apache Spark and Neo4j is aimed at broadening our knowledge and capabilities around these types of graph analyses, including algorithms, concepts, and practical machine learning applications of the algorithms. Your team will become graph heroes.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? temperature, salary).

Machine Learning 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

Srividya Sridharan

JUNE 12, 2019

This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking?

Data Strategy 92

Data Strategy Strategy B2B Machine Learning 92

Smart Data Collective

JULY 12, 2021

Moreover, they overlook the use of data and analytics when formulating strategies. The first step to achieving successful trades is analyzing the market and diligently outlining your strategy prior to trading. Use Data Analytics to Increase Knowledge. Helps Understand Risk with Predictive Analytics.

Big Data 137

Big Data Marketing Predictive Analytics Risk 137

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. A clear definition of these goals makes it possible to develop targeted HR strategies that support the corporate vision.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. The more data they ingest, the better they get.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

MAY 13, 2022

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. Before you can have AI-driven apps, you need to train a machine learning model to do the work. Takes advantage of predictive analytics.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

Smart Data Collective

JANUARY 13, 2021

The Internet is one of the most significant facets of our lives to be touched by data analytics, machine learning and other forms of new data technology. As we stated in the past, big data strategies require a great Internet connection. Machine learning is becoming fundamental to modern website applications.

Big Data 121

Big Data Machine Learning Data-driven Manufacturing 121

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Smart Data Collective

AUGUST 15, 2019

The Proliferation of AI in Google AdWords and Other PPC Strategies. Here are some ways AI is transforming PPC : Machine learning tools help you identify the bids that are going to get the most traffic. AI can predict the CTR of future ads, as well as the impact on quality scores.

Optimization 77

Optimization Strategy Advertising Machine Learning 77

datapine

MARCH 25, 2022

On the other hand, BA is concerned with more advanced applications such as predictive analytics and statistic modeling. By using Business Intelligence and Analytics (ABI) tools, companies can extract the full potential out of their analytical efforts and make improved decisions based on facts.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. They’re trying to get a handle on their data estate right now.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

DataRobot Blog

NOVEMBER 8, 2022

In a world that is increasingly outcome-focused and platform-based, we have integrated strategy and predictive analytics to move at the speed of our clients’ decisions and established a scalable framework for uncovering and acting on insights in an organized, simple, and transparent operating model.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

IBM Big Data Hub

FEBRUARY 19, 2024

The pandemic and its aftermath highlighted the importance of having a robust supply chain strategy , with many companies facing disruptions due to shortages in raw materials and fluctuations in customer demand. Here’s how companies are using different strategies to address supply chain management and meet their business goals.

Strategy 81

Strategy Management Forecasting Internet of Things 81

Smart Data Collective

MARCH 29, 2021

If your brand is trying to navigate today’s crowded and confusing analytics environment, one of the best things you can do is actively seek to reduce the amount of information you’re trying to wrangle. Instead of looking at everything, you can identify which strategies offer the most valuable insights and set the rest aside.

Marketing 138

Marketing Metrics Descriptive Analytics Predictive Analytics 138

Smart Data Collective

DECEMBER 22, 2020

The company uses predictive analytics and other big data tools. Use Data Analytics to Find Longer Keyword Phrases to Target Consumers Who Are Ready to Buy. We have previously talked about the benefits of data analytics and machine learning for keyword research. Its customers can leverage the same technology.

Data-driven 128

Data-driven Sales Advertising Big Data 128

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

Each business unit plans as appropriate but in a connected fashion that achieves better alignment with strategy and objectives and better coordination in executing the plan. A major practical benefit of using AI is putting predictive analytics within easy reach of any organization.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130