Jedox

JULY 17, 2018

The digital transformation is redefining the world as we know it at a pace faster than most people could ever imagine. But it is more than just massive computing power, artificial intelligence with sophisticated algorithms, and tons of data that are propelling this megatrend forward.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

BizAcuity

JUNE 3, 2022

Their seamless digital transformation included having to change the way they operated their stores. Current trends show retailers experimenting with emerging technologies like Predictive Analytics and IoT. From sourcing, production, staff requirement, and strategy are all dependent on demand forecasts.

Data Analytics 59

Data Analytics Analytics Forecasting Predictive Analytics 59

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. Gaming companies use AI for segmenting players and predicting churn rates in order to retain them through effective campaigns. Artificial Intelligence Analytics. Uncertain economic conditions. AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Why is data analytics important for travel organizations? How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Cloud and edge computing Cloud computing and edge computing play a significant role in how smart manufacturing plants operate.

Manufacturing 79

Manufacturing Technology Internet of Things Cost-Benefit 79

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. This is, in turn, causing a mismatch between demand forecasting and supply replenishment. McKinsey defines Supply Chain 4.0 Supply Chain 4.0

Manufacturing 106

Manufacturing Forecasting Internet of Things Risk 106

CIO Business Intelligence

OCTOBER 4, 2022

Business leaders, recognizing the importance of elevated customer experiences, are looking to the CIO and their IT teams to help harness the power of data, predictive analytics, and cloud resources to create more engaging, seamless experiences for customers. Embed CX into your data strategy.

Data-driven 109

Data-driven Machine Learning Interactive Predictive Analytics 109

CIO Business Intelligence

JANUARY 12, 2024

Another important application of ML/AI is data analytics. In the past, CRM dashboards contained historic data and trends that may or may not have been useful or actionable. With AI, CRM systems can analyze vast amounts of data to deliver predictive analytics on business outcomes.

Sales 126

Sales Marketing Data-driven Interactive 126

IBM Big Data Hub

OCTOBER 20, 2023

The retail industry is digitally transforming, embracing AI at its core to enable key capabilities across five primary areas: Personalized shopping experiences : AI delivers hyper-localized insights and real-time recommendations.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. Boost Revenue.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52