CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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. However, big data has also led to some concerns with racial profiling and other biases.

Predictive Analytics 68

Predictive Analytics Forecasting Analytics Big Data 68

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 data science? What is machine learning?

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

Smart Data Collective

SEPTEMBER 27, 2021

Big data technology has had an enormous impact on many sectors. Big data is completely changing the securities trading profession. Big data technology has led to some more impressive advances in AI that can help automate many of these tasks. Advanced Technology Trading Terminals.

Big Data 109

Big Data Technology Forecasting Machine Learning 109

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 83

Data Analytics Analytics Data Collection Statistics 83

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. However, it’s crucial to prioritize data privacy and security while utilizing customer data.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Smart Data Collective

AUGUST 26, 2021

Weather forecasting technology has grown from strength to strength in the last few decades. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips. So, what’s behind the stellar transformation of weather technology? That’s where data analytics steps into the picture.

Forecasting 130

Forecasting Data Analytics Analytics IoT 130

Smart Data Collective

OCTOBER 19, 2021

Data analytics has become a major gamechanger for the cryptocurrency industry. Traders and miners have discovered a number of advantages of using big data and AI tools to improve their profitability. One of the newest applications of data analytics in cryptocurrency mining is with yield farming.

Data Analytics 113

Data Analytics Analytics Big Data ROI 113

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. 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.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Smart Data Collective

JANUARY 26, 2022

Legal analytics is an evolving discipline that is changing the future of the legal profession. Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? Last year, we published an article on the ways that big law and big data are intersecting.

Data Analytics 73

Data Analytics Analytics Predictive Analytics Insurance 73

Jedox

JULY 17, 2018

But it is more than just massive computing power, artificial intelligence with sophisticated algorithms, and tons of data that are propelling this megatrend forward. It is the people who are using and embracing these new technologies – simply because it makes their lives easier, safer, and more enjoyable.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Smart Data Collective

MAY 3, 2022

Data analytics technology is helping businesses boost profitability in many ways. A few years ago, Walter Baker and his colleagues at McKinsey reported that one of the biggest advantages of big data in business is that it can help with pricing decisions. How Can Data Analytics Help with Creating a Pricing Strategy?

Data Analytics 90

Data Analytics Analytics Big Data Sales 90

Smart Data Collective

JUNE 26, 2019

Big Data, when combined with new technology such as artificial intelligence and machine learning , can be used to help determine trends much quicker than if humans had to pore over all the data. The in-depth analysis of historical data gives insurers a platform to base their determination of risk.

Insurance 95

Insurance Data Analytics Analytics IoT 95

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 135

Business Analytics Analytics Unstructured Data Data-driven 135

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 58

Technology Cost-Benefit Optimization Internet of Things 58

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Smarten

MARCH 7, 2024

Augmented Analytics with ALL Gartner Classified Essential Components AND Auto Insights Too! While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What is the difference between business analytics and data analytics? This is the purview of BI.

Business Analytics 134

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 134

Smart Data Collective

JULY 12, 2021

The financial analytics market was worth an estimated $6.7 Big data technology keeps reshaping the business landscape and companies have started realizing the importance of using data and analytics in their decision-making processes. Stock trading is an area where data and analytics are now more critical.

Big Data 130

Big Data Marketing Predictive Analytics Risk 130

O'Reilly on Data

MARCH 27, 2019

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. People from across the data world are coming together in San Francisco for the Strata Data Conference. The journey to the data-driven enterprise from the edge to AI. Data warehousing is not a use case.

Uncertainty 207

Uncertainty Forecasting Data-driven Machine Learning 207

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CIO Business Intelligence

AUGUST 2, 2022

As a technology executive for a leading energy producer, Alejandro Reyes shares those concerns, not only because he also feels the pain at the pump, but also because many people may view energy companies as a source of the problem. You also have all these different channels that are a constraint to some of the legacy technologies.

Data Quality 90

Data Quality Digital Transformation Machine Learning Predictive Analytics 90

datapine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. click for book source**.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

CIO Business Intelligence

JUNE 1, 2022

Racing car design innovation and racing strategy are now dominated by what McLaren engineers call condition-based insights derived from real-time data feeds from hundreds of sensors in cars and the use of digital twins ? and artificial intelligence (AI) and machine learning (ML) technologies. .

Manufacturing 114

Manufacturing Digital Transformation Predictive Analytics Strategy 114

CIO Business Intelligence

JUNE 29, 2022

Machine learning operations (MLOps) analysts have burst onto the scene as demand has grown among businesses for consistent, reliable insights in-house. In essence, MLOps analysts are a section of the data science team. Our role is to make machine learning, or AI, projects more systematic, repeatable, and well maintained.

Data Science 94

Data Science Machine Learning Data-driven Predictive Analytics 94

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

IBM Big Data Hub

FEBRUARY 12, 2024

Advancements in technology mean customers can order virtually any product and receive it in less than a week. And thanks to online metrics, specific customer feedback, and data analytics, these retailers had more information about their customers than ever before. Increasingly organizations expanded what they offered.

Data-driven 104

Data-driven Manufacturing Consulting Advertising 104

Smart Data Collective

NOVEMBER 18, 2020

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. Where to Use Data Mining?

Data mining 143

Data mining Data Science Informatics Statistics 143

Smart Data Collective

JUNE 19, 2022

Many suppliers are finding ways to use AI and data analytics more effectively. AI technology has been helpful for businesses in different industries for years. You can use predictive analytics tools to anticipate different events that could occur. Fortunately, AI technology can make this easier.

Risk 133

Risk Cost-Benefit Risk Management Manufacturing 133

Smart Data Collective

JANUARY 21, 2021

A growing number of solar energy companies are using new advances in data analytics and machine learning to increase the value of their products. A little over a year ago, Entrepreneur.com published an article on this topic titled Big Data and Solar Energy Are a Match Made in Heaven.

Big Data 132

Big Data Cost-Benefit Data-driven Machine Learning 132

Smart Data Collective

DECEMBER 22, 2020

The company uses predictive analytics and other big data tools. Its customers can leverage the same technology. Big data can help considerably. Use Data Analytics to Find Longer Keyword Phrases to Target Consumers Who Are Ready to Buy. The Amazon website acts as a data intensive search engine.

Data-driven 120

Data-driven Sales Advertising Big Data 120

Smart Data Collective

JANUARY 27, 2022

Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. It is important to be aware of the changes brought on by developments in big data. With their help, AI learns to. Robotic Engineer.

Big Data 128

Big Data Advertising Internet of Things Marketing 128

Smart Data Collective

OCTOBER 16, 2023

They both depend on big data because it helps to strengthen the technology. Let’s delve into the details of how businesses can apply big data. How do businesses apply big data? Big data applications have many possibilities. Big data can be utilized to discover potential security concerns and analyze trends.

Big Data 103

Big Data IoT Cost-Benefit Advertising 103

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand. as this will set you apart from other applicants.

Data Science 92

Data Science Statistics Data-driven Machine Learning 92