Cloudera

MAY 10, 2018

With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. The 2018 Data Impact Awards will recognize business, technical, and special achievements in nine categories: Business Impact. Grow your business.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Cloudera

FEBRUARY 14, 2018

operations, and our CISO’s team while we invest in and form a stronger data and analytics team. Mitigate risk to Cloudera’s business – for example in the area of Cybersecurity, and to ensure compliance with regulatory and consumer privacy policies and concerns. And the third is business transformation.

Security 43

Security Data Analytics Business Transformation 43

Cloudera

FEBRUARY 19, 2018

Running a large company is impossible without having an ERP system in place, and SAP business software remains at the forefront in this category. But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. Governance. Cataloging.

Data 46

Data Government Big Data Compliance 46

Saviynt

NOVEMBER 12, 2019

With artificial intelligence (AI) and machine learning (ML) becoming more important to creating a proactive security posture, companies now look to these technologies as part of their risk mitigation strategies. . If a user requests access, the predictive analytics can compare that request to peers and grant or deny the access. .

Cloud 28

Cloud Artificial Inteligence Artificial Intelligence Government 28

CIO

DECEMBER 7, 2023

Business transformation has made cybersecurity more challenging. Putting your faith—and your budget—in the wrong place can result in substandard protection, increased operational overhead and costs, and compliance gaps. It will drive resilience to combat threats without slowing down your cloud transformation.

Enterprise 263

Enterprise Disaster Recovery Authentication Budget 263

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Explainable AI is a must for automated business decisions. 2019 needs to be the year AI, ML and Analytics technologists stop SPENDING money and start MAKING some.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Sunflower Lab

AUGUST 4, 2023

By converting raw and unorganized data into meaningful visual representations and graphical objects, it makes an everlasting impact in the business world. Power BI consulting services are becoming vital for the business transformation across the country. The Power BI architecture is based on Azure.

Report 52

Report Mobile Business Intelligence Technical Review 52

CIO

OCTOBER 11, 2022

Our ambition is finding a way to take these amazing capabilities we’ve built in different areas and connect them, using AI and machine learning, to drive huge scale across the ecosystem,” Kaur said. We have reduced the lead time to start a machine learning project from months to hours,” Kaur said.

Artificial Inteligence 363

Artificial Inteligence Games Machine Learning Data 363

Saviynt

DECEMBER 27, 2019

Hundreds of the best and brightest minds in Identity and Security gathered at Converge ‘19 to focus on the identity governance challenges organizations face daily and explore the latest innovations in identity converged with cloud security, compliance, risk management, and emerging technologies. Alcon – Business Transformation Award .

Innovation 7

Innovation Azure Government Compliance 7

Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . As you proceed with your own AI business transformation journey, there are 3 things to consider: .

Retail 100

Retail Telecommunications Chemicals Airlines 100

Ivanti

OCTOBER 26, 2021

It’s even more challenging when the required people are in operating and service roles, including ITSM, but also in enterprise services like human resources, facilities management, compliance, and security. Without this integration, machine learning or analytical models don’t have the complete data and context to forecast capacity accurately.

Agile 61

Agile Programming SCRUM Project Management 61