Analytics Vidhya

JANUARY 21, 2025

This machine learning model has your back. In this article, we will build an ML model for forecasting and predicting Bitcoin price, using ZenML and MLflow. Don’t know much about Bitcoin or its price fluctuations but want to make investment decisions to make profits? It can predict the prices way better than an astrologer.

Machine Learning 222

Machine Learning Forecasting Modeling Analytics 222

David Menninger's Analyst Perspectives

JANUARY 15, 2025

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. What I discovered is that the availability of this type of vital information is exceedingly slim. To illustrate, consider a vendor selling ice cream on the beach.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

CIO Business Intelligence

OCTOBER 24, 2024

In some cases, the AI add-ons will be subscription models, like Microsoft Copilot, and sometimes, they will be free, like Salesforce Einstein, he says. Gartner is projecting worldwide IT spending to jump by 9.3% in 2025, one of the largest percentage increases in this century, and it’s only partially driven by AI. CEO and president there.

IT 133

IT Data-driven Recreation/Entertainment Experimentation 133

Dataiku

OCTOBER 4, 2021

Using RNNs & DeepAR Models to Find Out. Time series forecasting use cases are certainly the most common time series use cases, as they can be found in all types of industries and in various contexts.

Forecasting 138

Forecasting Deep Learning IT Sales 138

CIO Business Intelligence

NOVEMBER 1, 2024

Marsh McLennan has been using ML algorithms for several years for forecasting, anomaly detection, and image recognition in claims processing. His first order of business was to create a singular technology organization called MMTech to unify the IT orgs of the company’s four business lines.

IT 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

NOVEMBER 1, 2024

Marsh McLellan has been using ML algorithms for several years for forecasting, anomaly detection, and image recognition in claims processing. His first order of business was to create a singular technology organization called MMTech to unify the IT orgs of the company’s four business lines.

IT 105

IT Insurance Consulting Risk 105

CIO Business Intelligence

DECEMBER 19, 2024

So far, no agreement exists on how pricing models will ultimately shake out, but CIOs need to be aware that certain pricing models will be better suited to their specific use cases. Lots of pricing models to consider The per-conversation model is just one of several pricing ideas.

Cost-Benefit 128

Cost-Benefit Modeling ROI Marketing 128

Cloudera

JANUARY 7, 2025

Ryan Garnett, Senior Manager Business Solutions of Halifax International Airport Authority, joined The AI Forecast to share how the airport revamped its approach to data, creating a predictions engine that drives operational efficiency and improved customer experience. Ryan: First, I wanted to build a culture. That obviously stunned me.

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

NOVEMBER 22, 2024

Guan, along with AI leaders from S&P Global and Corning, discussed the gargantuan challenges involved in moving gen AI models from proof of concept to production, as well as the foundation needed to make gen AI models truly valuable for the business. MIT event, moderated by Lan Guan, CAIO at Accenture.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 207

Modeling Finance Uncertainty Data mining 207

CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Even basic predictive modeling can be done with lightweight machine learning in Python or R. This article reflects some of what Ive learned. And guess what?

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

MARCH 22, 2022

Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.

Modeling 144

Modeling Machine Learning Forecasting Optimization 144

CIO Business Intelligence

NOVEMBER 6, 2024

He emphasizes the importance of PoC studies in gaining stakeholder buy-in, and the role of data science, ML, and AI to enhance weather forecasting. For example, the Met Office is using Snowflake’s Cortex AI model to create natural language descriptions of weather forecasts. However, emerging technology must be used carefully.

Forecasting 133

Forecasting Risk Technology Strategy 133

CIO Business Intelligence

JUNE 7, 2024

based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. To achieve that, the Arlington, Va.-based

IT 128

IT Forecasting Machine Learning Modeling 128

The Data Visualisation Catalogue

OCTOBER 18, 2024

A Fan Chart is a visualisation tool used in time series analysis to display forecasts and associated uncertainties. Also, as the forecast extends further into the future, uncertainty grows, causing the shaded areas to widen and give this chart its distinctive ‘fan’ appearance.

Snapshot 84

Snapshot Uncertainty Forecasting Risk 84

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The data scientists need to find the right data as inputs for their models — they also need a place to write-back the outputs of their models to the data repository for other users to access. The BI team may be focused on KPIs, forecasts, trends, and decision-support insights. What is a semantic layer? Now it is a reality.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

datapine

NOVEMBER 19, 2019

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Adding to that, if you can’t understand the buzzwords others are using in conversation, it’s much harder to look smart while participating in that conversation.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

NOVEMBER 18, 2024

As a result, organisations are continually investing in cloud to re-invent existing business models and leapfrog their competitors. As cloud spending rises due to AI and other emerging technologies, Cloud FinOps has become essential for managing, forecasting, and optimising costs. It is therefore not advisable to seek 100% accuracy.

Measurement 111

Measurement Modeling Forecasting Metrics 111

KDnuggets

DECEMBER 27, 2021

Review this detailed tutorial with code and revisit the decades-long old problem using a democratized and interpretable AI framework of how precisely can we anticipate the future and understand its causal factors?

Forecasting 144

Forecasting Modeling IT 144

CIO Business Intelligence

MAY 21, 2024

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. With this model, patients get results almost 80% faster than before. It’s fabulous.”

IT 131

IT Cost-Benefit Experimentation Forecasting 131

CIO Business Intelligence

JUNE 11, 2024

That definition was well ahead of its time and forecasted the current era’s machine learning and generative AI capabilities. Despite that prescience, and the flexibility of information technology as a term, many today argue that calling the CIO’s organization “information technology” or “IT” has lived its course.

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. It will also be a year of collaborative BI and artificial intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

MAY 7, 2024

All business models, across all industries, and especially in Germany, are undergoing fundamental changes. It’s about more essential topics such as process standardization and the definition of new business models. I don’t know of any customer who doesn’t use the cloud somewhere in their IT landscape. Customers are also aware of this.

Forecasting 122

Forecasting Data Processing Software Measurement 122

CIO Business Intelligence

FEBRUARY 27, 2025

Data professionals need to access and work with this information for businesses to run efficiently, and to make strategic forecasting decisions through AI-powered data models. Without integrating mainframe data, it is likely that AI models and analytics initiatives will have blind spots.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Flexible payment options: Businesses don’t have to go through the expense of purchasing software and hardware.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

JANUARY 21, 2025

times compared to 2023 but forecasts lower increases over the next two to five years. With traditional OCR and AI models, you might get 60% straight-through processing, 70% if youre lucky, but now generative AI solves all of the edge cases, and your processing rates go up to 99%, Beckley says.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

APRIL 8, 2025

These strategies, such as investing in AI-powered cleansing tools and adopting federated governance models, not only address the current data quality challenges but also pave the way for improved decision-making, operational efficiency and customer satisfaction. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Smarten

FEBRUARY 19, 2025

In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. Forecasting and planning cannot be based on opinions or guesswork. Like every other business, your organization must plan for success.

Predictive Analytics 64

Predictive Analytics Analytics Predictive Modeling Forecasting 64

CIO Business Intelligence

JULY 18, 2022

Inflation is making itself felt in another way, as well, in combination with economic uncertainty driven by the Russian invasion of Ukraine—enterprises are moving heavily away from an ownership model of IT to a service-based one, with cloud spending expected to rise by 22.1% trillion, according to projections released by Gartner Research.

IT 144

IT Uncertainty Data-driven Sales 144

CIO Business Intelligence

JULY 2, 2024

When it comes to maximizing productivity, IT leaders can turn to an array of motivators, including regular breaks, free snacks and beverages, workspace upgrades, mini contests, and so on. Yet there’s now another, cutting-edge tool that can significantly spur both team productivity and innovation: artificial intelligence.

IT 143

IT Machine Learning Cost-Benefit Data-driven 143

CIO Business Intelligence

OCTOBER 4, 2023

During the last year, I’ve been fascinated to see new developments emerge in generative AI large language models (LLMs). For enterprises to fully unleash the potential of generative AI and large language models, we need to be frank about its risks and the rapidly escalating effects of those risks. I love technology.

Modeling 131

Modeling Risk Enterprise Forecasting 131

CIO Business Intelligence

MAY 14, 2024

Enterprises need to ensure that private corporate data does not find itself inside a public AI model,” McCarthy says. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model. We’re keeping that tight control and keeping it in the private cloud.” billion in 2024, and more than double by 2027.

IT 143

IT Data Processing Enterprise Modeling 143

CIO Business Intelligence

MAY 6, 2024

Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of. Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of.

Marketing 131

Marketing Strategy IT Data Processing 131

CIO Business Intelligence

MARCH 11, 2025

It orchestrates AI models alongside human expertise and analytics to help businesses harness AI without getting slowed down by technical complexities, Kapoor said. Built on NVIDIAs AI stack, the LLM delivers 30% greater accuracy and 30% lower costs than general-purpose models. Its not just about implementing technology.

Enterprise 108

Enterprise Insurance Forecasting Optimization 108

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. 16% of respondents working with AI are using open source models. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop.

Enterprise 339

Enterprise Testing Modeling Reporting 339

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. How can advanced analytics be used to improve the accuracy of forecasting? How fast are the advances you’re seeing in AI now?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250