Smarten

NOVEMBER 19, 2018

Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. Predictive analytics is the process of forecasting or predicting business results for planning purposes. No longer is this process the sole responsibility of data scientists or IT staff.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. Why IBM Consulting for generative AI on AWS?

Consulting 66

Consulting Machine Learning Manufacturing Optimization 66

Smarten

JANUARY 17, 2019

An enterprise that commits to these types of advanced data analytics tools can enjoy the benefits of a shared understanding of data and goals, improved decision-making, fact-based analysis that avoids guesswork and allows for refined planning and forecasting at every level of the organization.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

Jedox

JULY 17, 2018

New software technologies empower the office of finance and other lines of business to capture data, share knowledge, and align on common goals to optimize the budgeting and forecasting process and drive performance across the organization. Gartner 2017, Gartner Says AI Technologies Will Be in Almost Every New Software Product by 2020.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Sisense

DECEMBER 3, 2019

Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. Optimize raw data using materialized views. In-Warehouse Data Prep delivers builders advanced functionality to rapidly transform and optimize raw data using materialized views on cloud data warehouses.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

John Wheeler

AUGUST 18, 2020

Forecast Snapshot: Integrated Risk Management Solutions, Worldwide, 2017. As more business leaders look to IRM technology solutions to support their cost optimization and digital business initiatives, we will continue to increase our coverage of the IRM marketplace. Definition: Integrated Risk Management Solutions.

Risk Management 52

Risk Management Risk Snapshot Forecasting 52

CIO Business Intelligence

MARCH 22, 2022

He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations. In 2017 he left to become a senior vice president at Reliance Payment Services. December 2021. Airtel CISO Manish Tiwari joins Fractal as CIO. Fractal Analytics has appointed Manish Tiwari as its CIO.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

The Unofficial Google Data Science Blog

JULY 11, 2017

Forecasting (e.g. Time series data are having something of a moment in the tech blogs right now, with Facebook announcing their "Prophet" system for time series forecasting (Taylor and Letham 2017), and Google posting about its forecasting system in this blog (Tassone and Rohani 2017).

Forecasting 64

Forecasting Statistics Modeling Software 64

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

The first is that they are straightforward to optimize using traditional gradient-based optimizers as long as we pre-specify the placement of the knots. There is a robust set of tools for working with these kinds of constrained optimization problems. PLFs have two useful properties that we take advantage of.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Jet Global

DECEMBER 2, 2020

It means analyzing the existing customer base to understand their buying patterns, determining their needs throughout a period of business closures, and building forecasts to assess the viability of the new business and the potential impact on cash and receivables. The window of opportunity often closes quickly.

Sales 98

Sales Finance Reporting Manufacturing 98

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. billion in 2017 to $190.61 Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. billion by 2025.

Technology 279

Technology Internet of Things IT IoT 279

Smarten

JULY 26, 2018

It can streamline the work process of business users, improve the accuracy of planning and forecasting and ensure better, more timely, more accurate business decisions. Smart Data Visualization can radically improve your business intelligence, data discovery and analytics. What is Smart Data Visualization?

Visualization 40

Visualization IT Interactive Business Intelligence 40

Smarten

SEPTEMBER 6, 2019

In the meantime, business users have a tool that is sophisticated enough to present clear, accurate, measurable results and allow them to find the source of problems, optimize results and share data to support business decisions. Self-serve tools allow users to leverage knowledge and skill and better perform against forecasts and plans.

Analytics 51

Analytics IT Business Intelligence Testing 51

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Katherine Twomey, Gert Westermann (2017). This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. 5) Collaborative Business Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

SEPTEMBER 26, 2023

John Lawrence, Partner & CFO, Wavecrest Growth Partners: Lawrence, a Partner & CFO at Wavecrest since 2017, previously ran a consulting firm and served as CFO for private equity and venture capital firms. He specializes in process reengineering and risk reduction. I think we’ve got some ways to go.

Marketing 52

Marketing Finance Reporting Operational Reporting 52