Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Machine Learning Digital Transformation Data-driven 52

bridgei2i

JULY 28, 2020

The second thing is that we’re seeing a real transition in our companies and organizations to a complete digital transformation and I call it universal digital transformation. So, what we see that’s taking place in a more general setting is digital transformation. Anushruti: Absolutely Ria.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

IBM Big Data Hub

JANUARY 10, 2023

Though advanced analytics, process mining solutions can highlight gaps and opportunities in a digital transformation. In its very nature, data mining tools target this continuous improvement and equip its users with the data to continuously identify new opportunities and relentlessly reinvent the way things get done.

Management 52

Management Data-driven Data mining Business Objectives 52

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. And do you know what the key to unlocking value from data is? They share some commons, but we focus more on their differences.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

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. It runs statistics and algorithms (also known as data mining) on masses of historical data to calculate probabilities and future events.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. Businesses are then introduced to modern data science and data intelligence tools to enhance and fine-tune their products and processes. Enhance customer experience.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Sisense

APRIL 26, 2020

Key points to keep in mind about semi-structured data: Falls under the heading of unstructured data, but it has some lower-degree organization (still falls short of relational databases) Can be coerced into useful and easy-to-leverage table formats Examples of semi-structured data include XML, JSON, Emails, NoSQL DBs, event tracking, and web pages.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Applied analytics Business analytics Machine learning and data science.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Decision Management Solutions

AUGUST 18, 2020

DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

BizAcuity

MARCH 31, 2022

Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation. Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.

Metadata 64

Metadata Data Governance Dashboards Software 64