AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Artificial Inteligence 116

Artificial Inteligence Generative AI Security Applications 116

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . 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. . Improve Visibility within Supply Chains.

Analytics 107

Analytics Open Source Government Machine Learning 107

CIO

DECEMBER 19, 2023

That comes with the ability to create a storage infrastructure–or even create their own private cloud – that can be used going forward like a private cloud for each agency. Data lakes store raw data that can be used for various purposes, mostly focused on analytics, machine learning, and data visualization.

Government 231

Government Artificial Inteligence Cloud Data 231

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. This structure is made efficient by data engineering practices that include object storage.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

OCTOBER 6, 2022

Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise. Reduce compliance costs: Compliance is a cost of doing business, but how much of that cost is somewhat in your control?

Technical Review 85

Technical Review Compliance Machine Learning Artificial Inteligence 85

Cloudera

JANUARY 30, 2019

Meanwhile, IT has a difficult time keeping up with these changing needs while ensuring operational efficiency and compliance. Directly access data stored anywhere, including secure HDP clusters and cloud object storage. Maintain compliance with out-of-the-box support for full platform security, especially Kerberos. Register Now.

Machine Learning 72

Machine Learning Artificial Inteligence Data Open Source 72

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Infinidat

DECEMBER 5, 2023

One of those many projects that NIST creates is the Special Publication (SP) 800 Series, which presents information of interest to the computer security community - it developed NIST SP 800-209 (2020) Security Guidelines for Storage Infrastructure.

Security 61

Security Guidelines Storage Infrastructure 61

Perficient

MARCH 15, 2024

Both Snowflake and Databricks leverage cloud providers for storage. Both Snowflake and Databricks are cloud-native and both make use of the storage options for AWS, Azure and GCP. When you create an external table in Databricks , you are combining a storage path with a storage credential.

Storage 52

Storage Government Analytics Data 52

Cloudera

JUNE 27, 2023

When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions. Offload data from legacy, on-premises analytic platforms and appliances. On-premises analytic systems can often cost more than cloud-based alternatives.

Architecture 62

Architecture Data Government Machine Learning 62

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Simplified compliance. Improved scalability and agility. Flexibility. A phased approach to modernization.

Technical Review 66

Technical Review Data Open Source Systems Review 66

Cloudera

FEBRUARY 4, 2021

They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera comprehensively supports the demanding risk and compliance requirements of financial services and insurance organizations globally and it is an honor to receive this recognition. Cloudera is that platform. End-to-end Data Lifecycle.

Technical Review 88

Technical Review Marketing Technology Data 88

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. The source and availability of every material and part across each branch is an opportunity for risk.

Cloud 85

Cloud Government Storage Analytics 85

Cloudera

JUNE 7, 2023

It operates independently from compute and storage layers, offering integrated security and governance based on metadata. With persistent context across analytics and cloud environments, SDX simplifies data delivery and access with a unified multi-tenant model. Understanding your data is critical to protecting the data.

Data 79

Data Government Technical Review Policies 79

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

AUGUST 30, 2022

Firms are burdened with tech debt and endless regulatory compliance, often leaving innovation last to receive the necessary budgets. While heavy regulations have always existed in financial services, data regulatory compliance standards have been heightened significantly and laws in this space are constantly evolving.

Strategy 102

Strategy Artificial Inteligence Data Budget 102

Tandem

AUGUST 9, 2023

Promoting self-service analytics: By making data more understandable and accessible, the semantic layer empowers end-users to conduct their analyses and generate reports, fostering a data-driven culture within the organization. Data Storage and Management Systems: These systems are used for storing, retrieving, and managing data.

Data 52

Data Culture Analysis Machine Learning 52

Openxcell

MARCH 22, 2023

Machine Learning Artificial Intelligence that focuses on its learning capabilities and processing data with the help of existing patterns is called Machine Learning. Machine Learning in Saas comes with multitudes of uses. Machine Learning helps technology become humane and versatile.

Artificial Inteligence 59

Artificial Inteligence Trends Industry ChatGPT 59

Hacker Earth Developers Blog

JUNE 18, 2023

You may utilize the platform to make data-driven recruiting decisions by getting real-time insights into candidates’ performance through advanced analytics and machine learning algorithms. However, Codility’s reporting and analytics tools fall short in several areas when compared to HackerEarth.

Technical Review 130

Technical Review Software Review Technical Advisors Recruiting 130

Datavail

JANUARY 11, 2024

This includes access management, compliance with regulatory standards, network security, and more. Furthermore, AWS’s security and compliance certifications can considerably simplify your business’s audit and compliance processes, hence reducing costs.

AWS 74

AWS Disaster Recovery Artificial Inteligence Scalability 74

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Sunflower Lab

SEPTEMBER 11, 2023

By leveraging DAX fundamentals, we create custom calculations and tailored analytics to meet specific business needs in Power BI. Thanks to DAX-powered Power BI solutions, now financial institutions can make well-informed lending decisions, handle portfolios, and ensure regulatory compliance.

Weak Development Team 52

Weak Development Team Development Artificial Inteligence Healthcare 52

Datavail

AUGUST 1, 2023

The key drivers behind organizations’ choice to migrate to OCI include: Unmatched Performance and Scalability: OCI provides a high-performance infrastructure with robust compute, storage, and networking capabilities. Additionally, exploring third-party solutions can provide further insights and optimize storage costs.

Infrastructure 52

Infrastructure Cloud Systems Review Storage 52

Cloudera

MARCH 29, 2022

With that in place, government IT leaders can then apply the kinds of rich data analytics that produce copious benefits, including more informed decision-making, greater transparency, greater efficiency, and reduced costs. It’s no secret that the cloud has become the go-to infrastructure foundation for a modern data strategy.

Government 94

Government Cloud Data Artificial Inteligence 94

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

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. AI-Driven Security Analytics Artificial Intelligence (AI) is playing a pivotal role in enhancing cloud security.

Trends 52

Trends Innovation Cloud Serverless 52

OTS Solutions

JUNE 16, 2023

App modernization can enhance security and compliance for businesses. By integrating innovative technologies security and compliance, companies can position themselves for growth and success. Security and compliance are also essential considerations for organizations when modernizing their applications.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Cloudera

JANUARY 14, 2021

For merchants, the ability to capture shelf, rack, table, and bin inventory levels allows them to prevent out-of-stocks (lost sales), monitor merchandising (display, pricing, promo, POG), meet compliance initiatives, and share these new insights with trading partners they may have.

Retail 69

Retail Agile Storage Analytics 69

OpenCredo

NOVEMBER 22, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data cost-effectively and run advanced analytics and machine learning (ML) at scale. to now include a Kubernetes Operator. Register these as dynamic tables.

Data 59

Data AWS Policies Compliance 59

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. Netskope empowers organizations to direct usage, protect sensitive data and ensure compliance in real-time, on any device, for any cloud app.

Innovation 111

Innovation Network Machine Learning Artificial Inteligence 111

Sunflower Lab

FEBRUARY 8, 2024

Actionable Insights Driving Improvements Power BI dashboards utilize advanced analytics and machine learning algorithms to transform raw healthcare data into actionable insights. Power BI Emergency Room (ER) Analytics Dashboard Timely emergency treatment is crucial.

Healthcare 40

Healthcare Metrics Analytics IoT 40

OTS Solutions

JUNE 16, 2023

Finally, app modernization can enhance security and compliance for businesses. By integrating innovative technologies security and compliance, companies can position themselves for growth and success. Security and compliance are also essential considerations for organizations when modernizing their applications.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

O'Reilly Media - Ideas

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Product Management 135

Product Management Artificial Inteligence Machine Learning Software Review 135

Cloudera

DECEMBER 10, 2020

Generally, if five LOB users use the data warehouse on a public cloud for eight hours a day for one month, you pay for the use of the service and the associated cloud hardware resources (compute and storage) for this period. 150 for storage use = $15 / TB / month x 10 TB. 150 for storage use = $15 / TB / month x 10 TB.

Data 98

Data Technical Review Storage Systems Review 98

O'Reilly Media - Data

AUGUST 16, 2018

Storage engine interfaces. Storage engine interfaces. With the proliferation of a large number of NoSQL storage engines (CouchDB, Cassandra, HBase, MongoDB, etc.) Applications cannot swap storage engines if needed. The TPC-DS standard, intended to benchmark BI and analytical workloads, offered considerable promise.

Big Data 123

Big Data Data Storage Azure 123

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Are you looking to include log, semi-structured, or sensor data in your analytics?

Data 82

Data Analytics Cloud Technical Review 82