CTOvision

JUNE 15, 2015

IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. Business Transformation.

Meeting 65

Meeting Data Technical Review Machine Learning 65

CIO

AUGUST 9, 2023

Now, in 2023, companies are using analytics and intelligence capabilities as well as IoT and edge computing. And they’re deploying low-code/no-code platforms so that all workers, and not just technologists, can develop software to support and transform business processes.

Technical Review 344

Technical Review Software Review Artificial Inteligence Survey 344

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. Denis Gagne Trisotech [link]. Regulated and unregulated industries should advance with caution.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

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. Cloud success.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

CIO

AUGUST 15, 2023

As part of the hackathon, the IT team sought to achieve three things: to aggregate the company’s data into an enterprise data platform; to build an API that would provide business access to that data; and to develop a machine learning algorithm to provide insights on top of the aggregated IoT data.

Technical Review 242

Technical Review Artificial Inteligence Systems Review Weak Development Team 242

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . Business Transformation: United Overseas Bank Group – UOB. Technical Impact. Societal Impact: .

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Altexsoft

OCTOBER 26, 2022

A Chief Digital Officer or CDO is a C-level specialist who drives digital transformation by building an innovative ecosystem in the company to ultimately transform a traditional analog business into a digital one. This can be anything from CRMs to AI-powered chatbots to IoT systems. Business acumen.

CTO 52

CTO Organization Technical Review Culture 52

Saviynt

MARCH 18, 2020

For any or all of these reasons, many programs fall short of the lofty goals of full automation and 100% governance coverage for all their various identity types: human, privileged, service accounts, non-human (IoT, RPA, OT), and the access they should have. The struggle is real. as well as even level of assurance.

Policies 36

Policies Machine Learning Artificial Inteligence Government 36

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.

Data 46

Data Government Big Data Compliance 46

Robots and Pencils

OCTOBER 8, 2021

As we can see, data-driven companies, like Uber or Netflix, put AI and machine learning at the center of their efforts. Mature companies (enterprise or otherwise) which are ready to die will continue with business as usual. That’s digital transformation.” For this, they will need all sorts of technology.

Technical Review 136

Technical Review Security Development Team Review Technical Advisors 136

CIO

DECEMBER 7, 2023

An explosion of workstations, servers, containers, IoT, and mobile devices has opened opportunities for hackers to exploit. Business transformation has made cybersecurity more challenging. Of course, you don’t have to imagine. This is the reality we live in today. Systems and data are on premise and in the cloud.

Enterprise 259

Enterprise Disaster Recovery Authentication Budget 259

Cloudera

JULY 9, 2019

Many businesses find it hard to harness this need for speed in a useful way. Sensors, IoT devices, mobile devices, cities, cars—the digital world is increasingly connected and interconnected. This connection is changing the types and sources of data businesses are receiving. Failing to leverage the connected world.

Big Data 78

Big Data Data Agile Enterprise 78

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 103

Retail Telecommunications Chemicals Airlines 103