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.

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datapine

NOVEMBER 27, 2019

We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.

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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.

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Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

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CIO Business Intelligence

FEBRUARY 6, 2025

This article reflects some of what Ive learned. The hype around large language models (LLMs) is undeniable. But heres the question I keep asking myself: do we really need this immense power for most of our analytics? Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets.

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Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives.

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Smart Data Collective

NOVEMBER 24, 2019

He discussed this topic in detail in one of his articles. One of the biggest applications is that new predictive analytics models are able to get a better understanding of the relationships between employees and find areas where they break down. Big Data is the Key to Stronger Team Extension Models. Pros and cons.

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Rocket-Powered Data Science

MARCH 19, 2021

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Another dimension to this story, of course, is the Future of Work discussion, including creation of new job titles and roles, and the demise of older job titles and roles. trillion by 2030.”.

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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. Mobile Analytics.

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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?

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Rocket-Powered Data Science

MARCH 10, 2020

And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”. How does one express “context” in a data model? Ahh, that’s the topic for another article. Hence, the graph model can be applied productively and effectively in numerous network analysis use cases.

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datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Try our professional BI and analytics software for 14 days free! What Do The Experts Say?

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Smart Data Collective

OCTOBER 6, 2023

Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. There are a number of huge benefits of using data analytics to identify seasonal trends.

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Smart Data Collective

AUGUST 29, 2022

In this article, we will share some best practices for improving your analytics with ML. Top ML approaches to improve your analytics. Predictive analytics. Predictive analytics uses historical data to predict future trends and models , determine relationships, identify patterns, find associations, and more.

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Analytics Predictive Analytics Machine Learning Insurance 132

TDAN

APRIL 20, 2021

Enter predictive analytics, and […]. It’s usually somewhat tedious for all parties involved, until a safety issue actually arises. At this point, all the old procedures will be given a good once-over.

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DataRobot Blog

JANUARY 27, 2019

In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. by Jen Underwood. Read More.

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Decision Management Solutions

JANUARY 16, 2020

The Machine Learning Times (previously Predictive Analytics Times) is the only full-scale content portal devoted exclusively to predictive analytics. In this month’s featured article, Eric Siegel, Ph.D., ” In his article, Eric warns, “Predictive models often fail to launch.

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Machine Learning Predictive Modeling Predictive Analytics Deep Learning 87

Smarten

MARCH 19, 2025

In this article, we will discuss the difference between two types of Artificial Intelligence (AI) development your business may be considering, namely, Generative AI (GenAI) vs. Agentic AI. To function, GenAI models must be trained, using large datasets. Tools like DALL-E, Stable Diffusion, and ChatGPT are based on multimodal models.

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Smarten

NOVEMBER 4, 2024

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials.

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Predictive Modeling Modeling Predictive Analytics Business Intelligence 64

Smart Data Collective

JULY 9, 2021

They can use data analytics to assess the performance of employees in different situations, including traditional workers in-house, remote workers and independent contractors. It also helps with creating a solid hiring model. Data analytics helps companies match the right employees or applicants with the right responsibilities.

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Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Edge Computing (and Edge Analytics): Industry 4.0: Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., Examples: Cars, Trucks, Taxis.

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Smart Data Collective

MARCH 2, 2023

As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. Kaneshwari Patil wrote an article for Nasscom Insights about the reasons companies should invest in big data during the recession. This helps companies adapt to meet their changing expectations.

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datapine

JANUARY 31, 2022

Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses. Renowned author Bernard Marr wrote an insightful article about Shell’s journey to become a fully data-driven company. 5) Find improvement opportunities through predictions. Let’s look at our first use case.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

JANUARY 14, 2025

His article notes that over the past decade, AIs performance has exceeded that of humans when it comes to speech recognition, image recognition, reading comprehension, language understanding, and common-sense completion. Why limit your enterprises innovative potential to the speed of a big ERP vendor?

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datapine

MARCH 31, 2022

While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They use advanced technologies such as machine learning models to generate predictions about future business performance. Main Challenges Of A Business Intelligence Career.

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Smart Data Collective

SEPTEMBER 6, 2023

Many financial institutions are already using these types of predictive analytics models to fight fraud. AI is going to be more important than ever, as this article from IBM highlights. As a countermeasure, fraud detection software has become an indispensable ally in the battle against online deceit.

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Smart Data Collective

JANUARY 26, 2022

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. We have had time to observe some major developments of legal analytics over the last year. Predictive analytics.

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Data Analytics Analytics Predictive Analytics Insurance 103

Domino Data Lab

JULY 28, 2021

In this article, we will provide an overview of the three overlapping components of data science, the importance of communication and collaboration, and how the Domino Data Lab MLOps platform can help improve the speed and efficiency of your team. All models are not made equal. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

Decision Management Solutions

APRIL 23, 2019

In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , Predictive analytics can make a significant impact in this process, helping to ensure that carriers accept and price policies to properly balance the medical or financial risk against the value of the premiums.

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Insurance Risk Technology Management 69

Smart Data Collective

JULY 24, 2023

This article will delve into the transformative potential of AI in Vendor Management Systems, and how it’s setting the stage for a more strategic, intelligent, and efficient approach to procurement. As AI reshapes traditional operational landscapes, the procurement sector stands on the cusp of a new era.

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Management Cost-Benefit Data-driven Predictive Analytics 98

Decision Management Solutions

DECEMBER 18, 2019

This is a great piece by Tom Davenport (who wrote a foreword for my new book Digital Decisioning: Using Decision Management to Deliver Business Impact from AI ) about deployment: Great data and fantastic models have no impact on the world unless they are deployed into operational systems and processes. Focus on continuous improvement.

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Machine Learning Predictive Analytics Modeling Risk 67

Decision Management Solutions

MAY 1, 2019

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. In February, we published a blog post on “Using Technology to Add Value in Insurance”. Sell More , 2. Manage Risk Better , and 3.

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Insurance Technology Predictive Analytics Risk 75

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. “This is where big data comes in.

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Smart Data Collective

NOVEMBER 18, 2020

Data Science is used in different areas of our life and can help companies to deal with the following situations: Using predictive analytics to prevent fraud Using machine learning to streamline marketing practices Using data analytics to create more effective actuarial processes. Where to Use Data Science?

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CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. This article was made possible by our partnership with the IASA Chief Architect Forum.

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datapine

MAY 2, 2023

In this article, we’re going to examine examples and benefits of big data in logistics industry to fuel your imagination and get you thinking outside of the box. In a recent move towards a more autonomous logistical future, Amazon has launched an upgraded model of its highly-successful KIVA robots.

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Big Data Internet of Things Cost-Benefit Optimization 275

CIO Business Intelligence

AUGUST 2, 2022

Reyes accomplishments and success in the IT industry was acknowledged last year in an award-winning CIO.com article profiling Hispanic technology executives who have broken through barriers to rise to the top of the IT industry, paving a path for others to follow. What is the biggest challenge for you in this area right now? That’s one.

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