John Wheeler

JULY 15, 2019

Gartner kicked-off it’s global series of 2019 Security & Risk Management Summit Conferences last month in Washington, DC. It’s here where we receive direct feedback from both technology providers as well as end-users on emerging trends and technologies for security and risk management. Source: Gartner.

Risk Management 60

Risk Management Risk Forecasting Management 60

John Wheeler

FEBRUARY 11, 2019

In the span of a week, the integrated risk management (IRM) technology market has experienced significant consolidation. Four vendors from Gartner’s inaugural 2018 IRM Magic Quadrant have joined forces to evolve their legacy governance, risk and compliance (GRC) offerings to better compete in the IRM market (see figure below).

Marketing 45

Marketing Risk Management Risk Forecasting 45

O'Reilly on Data

JANUARY 22, 2019

Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market. Time-variant distributions for asset values and risks are the rule, not the exception.

Modeling 134

Modeling Finance Uncertainty Data mining 134

Jet Global

OCTOBER 8, 2020

Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context. Tip 2: Improving accounts receivable procedures.

Finance 98

Finance Reporting Forecasting Metrics 98

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

Smart Data Collective

SEPTEMBER 30, 2021

Drought Risk Assessment and Prediction. million between 1988-2017 and the resulting food insecurity has caused hundreds of thousands of deaths, if not more. One particular company, Watershed, hopes to be able to build a tool in which raw data can yield insight and concrete actions in which carbon emissions are reduced.

Machine Learning 121

Machine Learning Cost-Benefit Optimization Forecasting 121

bridgei2i

FEBRUARY 8, 2019

Sales forecasting: Accurately forecasting sales is one of the most difficult tasks for most sales managers. A 2017 white paper produced by Harvard Business Review in collaboration with Apttus states that “B2B revenue generation processes offer huge opportunities to benefit from the (AI) technologies.” Certainly not.

Sales 40

Sales B2B Cost-Benefit Structured Data 40

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management. Not just that.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

IBM Big Data Hub

JULY 19, 2023

Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. The burden from growing event volumes is reflected in budgets that are expected to grow from an estimated USD 4 billion in 2017 to over 6 billion by 2020. Fairness : AI models should treat all groups equitably.

Consulting 66

Consulting Machine Learning Manufacturing Optimization 66

bridgei2i

FEBRUARY 21, 2019

A strong case study where a global MNC used AI enabled deal classification, data input enhancement, account analytics, and external data feeds to transform their sales organization in Nigeria resulting in “a substantial increase in sales productivity and forecasted Y-o-Y revenue growth.” and deliver incremental value for the most part.

Sales 40

Sales Structured Data Forecasting Enterprise 40

Smarten

NOVEMBER 22, 2017

Tools like Plug n’ Play Predictive Analysis , Smart Visualization and Self-Serve Data Preparation allow the enterprise to transform the average business user into a Citizen Data Scientist and to better plan and forecast and make confident decisions.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Smart Data Collective

JULY 28, 2022

The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed. Many experts are using predictive analytics technology to forecast the future value of bitcoin. The good news is that predictive analytics technology can reduce risk exposure for these investors.

Predictive Analytics 136

Predictive Analytics Analytics Forecasting Machine Learning 136

CIO Business Intelligence

MARCH 22, 2022

At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . In his 20 years’ experience in IT, Verma has led work on security, risk compliance, IoT, RPA, cloud, and business continuity planning. He will be based in Gurugram.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

John Wheeler

AUGUST 18, 2020

This month, we continue our “20 for 20” theme by highlighting the top 20 “most read” research publications in our integrated risk management (IRM) compendium. Magic Quadrant for Integrated Risk Management, 2018. Magic Quadrant for Integrated Risk Management Solutions, 2019.

Risk Management 52

Risk Management Risk Snapshot Forecasting 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

If we observe label vector y and feature vectors $x_1, cdots, x_d$ we can write the differentiable empirical risk minimization problem with a squared loss as$$ min_theta left| y - sum_{j=1}^d c_j(x_j) right|^2 $$Note that we use squared loss for the simplicity of presentation; one can use any differentiable loss in their application.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

MAY 20, 2021

This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Using the adap learning algorithm to forecast the onset of diabetes mellitus.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

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? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

OCTOBER 18, 2017

Most of us have seen the news stories and forecasts about the Internet of Things (IoT) and what a vast market and field of opportunity it will be. Data is sent to a central hub in the cloud where evidence-based algorithms can effectively predict which patients are at risk.

Internet of Things 40

Internet of Things IoT Forecasting Machine Learning 40

CIO Business Intelligence

FEBRUARY 27, 2023

The IT sector in Ukraine had stabilized after the 2014 Russian incursion with growth accelerating beginning in 2017 and “supercharging” in 2020 and 2021, says Katie Gove, senior director-analyst in Gartner’s Technology and Service Provider Research division. Gartner forecasts no end in sight for the global talent crunch.

Software 89

Software Marketing Uncertainty Technology 89

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MARCH 2, 2022

For one, companies that place an emphasis on their environmental and social impacts and responsibilities, have been shown to be more resilient and that they’re able to manage their risks better during a crisis. The SFDR aims to give more transparency about sustainability and provide a common set of rules on sustainability risks.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

Jet Global

SEPTEMBER 26, 2023

He specializes in process reengineering and risk reduction. 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.

Marketing 52

Marketing Finance Reporting Operational Reporting 52