Coforge

AUGUST 27, 2020

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Artificial Inteligence 52

Artificial Inteligence Machine Learning Insurance Artificial Intelligence 52

CIO

DECEMBER 13, 2022

While “consumption” matters are just as critical, getting data supply right is essential to ensuring that data — and the insights it drives — are available and trustworthy. A community of teams Organizations can support data analytics program effectiveness by ensuring that all impacted stakeholders (e.g.,

Analytics 264

Analytics Strategy Data Metrics 264

CTOvision

AUGUST 30, 2014

The best minds in data gather at Strata + Hadoop World to learn and connect—and explore the complex issues and exciting opportunities brought to business by big data, data science, and pervasive computing. If you want to tap into the opportunity that data presents, you want to be there. By Bob Gourley.

Big Data 110

Big Data Data Case Study Study 110

CIO

JULY 14, 2023

Generative AI models like ChatGPT and GPT4 with a plugin model let you augment the LLM by connecting it to APIs that retrieve real-time information or business data from other systems, add other types of computation, or even take action like open a ticket or make a booking.

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. It can also help organizations better understand their data and make data-driven decisions.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

DataRobot

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.

Artificial Inteligence 111

Artificial Inteligence Systems Review Technical Review Software Review 111

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. It can also help organizations better understand their data and make data-driven decisions.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Exadel

APRIL 27, 2023

RegTech offers innovative technologies that simplify and optimize compliance procedures in various ways. We will also talk about how RegTech solutions can help financial services to ensure regulatory compliance and what benefits they can get from it. The amount of data which banks needed to process was huge and hard to track manually.

Banking 52

Banking Report Compliance Fintech 52

CTOvision

OCTOBER 6, 2015

The entries were vetted in a two-stage process by the SINET Showcase Steering Committee, which was comprised of 100 security experts drawn from the venture, government, industry, academia, investment banking and private sector communities. Data science for security data volume. Sqrrl Data, Inc. – Onapsis, Inc.

Company 115

Company Big Data Government Innovation 115

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Keep data lineage secure and governed.

Analytics 109

Analytics Open Source Government Machine Learning 109

CTOvision

NOVEMBER 13, 2015

Identity & access intelligence (IAI) and user behavior analytics (UBA) use machine learning and predictive anomaly detection algorithms to identify and prevent breaches. Data science for security data volume. Sqrrl Data, Inc. – The Big Data company that enables more powerful cyber security investigations.

Innovation 111

Innovation Network Machine Learning Artificial Inteligence 111

CTOvision

MARCH 6, 2014

By Bob Gourley Award recognizes Digital Reasoning’s proactive and game-changing approach to risk and compliance analytics. The third annual GRC Technology Innovation Awards recognize technologies that are revolutionizing the Governance, Risk Management and Compliance (GRC) market. NASHVILLE, Tenn. About Digital Reasoning.

Innovation 103

Innovation Technology Machine Learning Artificial Inteligence 103

CTOvision

MAY 6, 2015

Digital Reasoning is the maker of the mission-focused analytics software platform, Synthesys®, a solution used in government agencies to uncover security threats and enable intelligence analysts to find and act on critical relationships in big data. We are very pleased to have Digital Reasoning as a sponsor of the Synergy forum.

Analytics 91

Analytics Software Review Software Systems Review 91

IDC

MAY 21, 2019

As artificial intelligence and machine learning technologies become part of our everyday life and as data and big data insights become accessible to everyone, CDOs and data teams are taking on a very important moral role as the conscience of the corporation.

Artificial Inteligence 101

Artificial Inteligence Artificial Intelligence Machine Learning Strategy 101

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

AUGUST 29, 2023

It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.

Architecture 52

Architecture Data Storage Machine Learning 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Public cloud also introduces new challenges in governance, financial management and integration. REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

Cloud 78

Cloud Google Cloud Azure AWS 78

O'Reilly Media - Data

APRIL 3, 2018

We are in the midst of a “data revolution,” where individuals and organizations can store and analyze massive amounts of information. Working with large databases, new analytical tools, and data-enabled methods promises to bring many benefits to society.

Artificial Inteligence 117

Artificial Inteligence Data Technical Review Artificial Intelligence 117

Sailpoint

JUNE 18, 2019

As you delve into these key areas, it’s critical to recognize the importance of how these can impact your institution’s overall security, privacy, and compliance efforts, if not properly approached. SailPoint sees financial institutions navigate these challenges successfully when they adopt a comprehensive identity governance program.

Banking 40

Banking Government Compliance Conference 40

Cloudera

FEBRUARY 11, 2019

Only Cloudera provides multi-cloud choice and hybrid cloud flexibility – powered by cloud-native technologies – for a public cloud experience across public and private clouds, significantly simplifying IT operations and governance. 3. Expansion beyond core data management. Best-fit and platform combine in the cloud “.

Analytics 43

Analytics Data Machine Learning Artificial Inteligence 43

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Governance.

Data 47

Data Government Big Data Compliance 47

TechCrunch

JULY 12, 2021

“We’ve diversified outside of financial services and working with government, healthcare, telcos and insurance,” Vishal Marria, its founder and CEO, said in an interview. to bring big data intelligence to risk analysis and investigations. How to ensure data quality in the era of Big Data.

Big Data 257

Big Data Tools Data Healthcare 257

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. 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: .

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Xebia

MARCH 10, 2021

Ideally, ‘ facilitate individual business domains with their ‘insights’ demand ’ means: individual business domains are capable to take ownership of creating and operating their own ‘data and insights’ needs. Let’s first briefly explore the world of Data Science and better understand why DevOps can help.

DevOps 130

DevOps Data Analytics Policies 130

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Types of metadata. There are multiple ways to categorize metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Palo Alto Networks

APRIL 23, 2020

Any truly complete approach to MDR should rely on technologies providing behavioural threat analysis, using techniques that include machine learning, artificial intelligence and human intelligence. Can it work across multiple clouds, including containers, microservices and data repositories? . Economic Consideration.

Artificial Inteligence 55

Artificial Inteligence Artificial Intelligence Technical Review Machine Learning 55

Kaseya

MAY 13, 2021

Common cloud functionalities offered by AWS that can help businesses scale and grow include: Networking and content delivery Analytics Migration Database storage Compute power Developer tools Security, identity and compliance Artificial intelligence Customer engagement Internet of Things Desktop and app streaming. Cost Efficiency.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Linux Academy

APRIL 9, 2019

AWS Certified Big Data. AWS Certified Machine Learning. Understanding of security concepts with hands-on experience in implementing security controls and compliance requirements. Implement and automate security controls, governance processes, and compliance validation. AWS Certified Machine Learning.

AWS 60

AWS DevOps Architecture Scalability 60

Cloudera

SEPTEMBER 7, 2018

The comprehensive solution covers simple text analytics and communications monitoring for e-mail, voice and text messages, to more complex pattern detection and machine learning-based text analysis models. Smarter : Deeper insights with a full complement of analytic and machine learning frameworks for all threat detection.

Machine Learning 49

Machine Learning Artificial Inteligence Scalability Analytics 49

Actian

JULY 26, 2019

Hybrid infrastructure support: How well does your future warehouse need to support the various current and future operational requirements of your organization by enabling secure access from anywhere, ingesting data in real time, and providing elasticity to increase or decrease compute and storage resources when you need to? Here’s Why , ….

Cloud 40

Cloud Data Analytics Case Study 40

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Migration of historical data from EDW Platform.

Data 82

Data Analytics Cloud Technical Review 82

Existek

JANUARY 11, 2022

Governments . Governments. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Data and analytics. Security and governance. Machine learning. Security, identity, and compliance.

Azure 52

Azure AWS Cloud How To 52

CIO

JULY 13, 2022

Much of the hype around big data and analytics focuses on business value and bottom-line impacts. But for government agencies, there is a greater mission: improving people’s lives. Data makes the most ambitious and even idealistic goals—like making the world a better place—possible. Want to learn more?

Data 246

Data eBook Culture Government 246

Cloudera

MAY 10, 2018

Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards! With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Enterprise machine learning. Grow your business.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

TechCrunch

SEPTEMBER 23, 2021

Ocrolus uses a combination of technology, including OCR (optical character recognition), machine learning/AI and big data to analyze financial documents. Ocrolus has emerged as one of the pillars of the fintech ecosystem and is solving for these challenges using OCR, AI/ML, and big data/analytics,” he wrote via email. “We

Fintech 243

Fintech Banking Artificial Inteligence Machine Learning 243

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). Don’t embark on any lengthy data modeling or rationalization.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350