Cloudera

AUGUST 25, 2020

One of the key takeaways from recent times that should be considered into the future, is that banks need to rethink how they look at tail risk or extreme events that rarely happen. . This is critically important for predicting risk exposures. Prescriptive analytics provides decision-makers with thousands of potential future scenarios.

Prescriptive Analytics 74

Prescriptive Analytics Technology Machine Learning Risk 74

Birst BI

OCTOBER 30, 2018

Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Descriptive analytics are useful because this method of analysis enables financial services companies to learn from past behaviors.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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. 4) Predictive And Prescriptive Analytics Tools.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

AUGUST 26, 2021

Privacy, Risk and Compliance. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. Augmented Analytics. Next, you test these use cases with the software chosen.

Metadata 64

Metadata Data Governance Dashboards Software 64

Andrew White

JANUARY 11, 2021

Some data is more a risk than valuable. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Risk Management (most likely within context of governance). Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Business End-User Benefits Embedding analytics into essential applications makes analytics more pervasive. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Taking non-commercial applications to the next level of analysis can be widely helpful.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52