O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Data preparation, governance, and privacy.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data preparation, data governance, and data lineage. Machine Learning model lifecycle management. Deep Learning.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

CIO

OCTOBER 13, 2023

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 329

Data Database Administration Data Engineering Artificial Inteligence 329

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

Artificial Inteligence 284

Artificial Inteligence Strategy Data Machine Learning 284

Cloudera

MARCH 29, 2022

State and local governments generate and store enormous amounts of data essential to their ability to deliver citizen services. Data doesn’t arrive on the doorsteps of government offices as a neatly packaged asset. Data doesn’t arrive on the doorsteps of government offices as a neatly packaged asset. But that alone is too broad.

Government 99

Government Cloud Data Artificial Inteligence 99

Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Energy 84

Energy Analytics Data Machine Learning 84

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. . Keep data lineage secure and governed.

Analytics 111

Analytics Open Source Government Machine Learning 111

CIO

SEPTEMBER 19, 2023

The survey identified the most prominent uses of AI for a variety of verticals, ranging from financial services to government and public services. Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity.

Artificial Inteligence 354

Artificial Inteligence Enterprise Artificial Intelligence Generative AI 354

CIO

JUNE 6, 2023

There’s also no guarantee that a new laptop would have the required specific security and governance your organization requires. Following the rush for organizations to move all workloads exclusively to the cloud, many organizations found they needed to repatriate workloads to on-prem storage due to privacy regulations, and cost.

Azure 130

Azure Data Center Telecommunications Government 130

Infinidat

AUGUST 24, 2023

The Security of Enterprise Storage – A Call to Action for CISOs Adriana Andronescu Thu, 08/24/2023 - 04:51 Cyber criminals can infiltrate an enterprise infrastructure and stay there, undetected, for months at a time. They aren’t only attacking primary storage; they also attack secondary storage. But are they actually doing it?

Security 52

Security Storage Enterprise Malware 52

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

FEBRUARY 27, 2023

This number is concerning given emerging digital technologies such as blockchain, IoT, artificial intelligence, and machine learning are increasing demand for data centre services further, as workloads are no longer confined to the core data centre and can run anywhere, including the edge.

Sustainability 270

Sustainability Innovation Artificial Inteligence Energy 270

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

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

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

Cloudera

JANUARY 30, 2019

IT organizations can deliver all of this with a scalable, secure, governed, self-service platform which avoids costly data and tool stack silos. Directly access data stored anywhere, including secure HDP clusters and cloud object storage. What is CDSW? Add it to an existing HDP cluster, and it just works. Register Now.

Machine Learning 78

Machine Learning Artificial Inteligence Data Open Source 78

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Architecture 64

Architecture Data Government Machine Learning 64

Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. 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.

Cloud 92

Cloud Government Storage Analytics 92

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

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Cloudera

JUNE 7, 2023

Focusing on the Data Pillar According to the Federal Data Strategy , the federal government views itself as the “preeminent supplier and sophisticated and ethical user of data.” With use cases from citizen services to military intelligence, government data is leveraged as a strategic asset across agencies (civilian and DoD).

Data 86

Data Government Technical Review Policies 86

AWS Machine Learning - AI

MARCH 1, 2024

She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. Who are the Executive Officers and Directors for Amazon as of January 24, 2024? The executive officers of Amazon as of 2024 include Andrew R. Jassy as President and Chief Executive Officer, Douglas J.

Knowledge Base 100

Knowledge Base Artificial Inteligence AWS Generative AI 100

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 111

Data Machine Learning Artificial Inteligence Automotive 111

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 68

Open Source Analytics Software Review Metrics 68

Infinidat

DECEMBER 5, 2023

CSRC supports people and organizations in government, industry, and academia—both in the U.S. 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 59

Security Guidelines Storage Infrastructure 59

Perficient

NOVEMBER 24, 2023

Microsoft Fabric provides a unified data architecture and enables users to integrate key technologies such as Azure Data Factory, Azure Synapse Analytics, Power BI, and OneLake. GA of Azure Boost – a system that makes storage and networking faster by moving those processes off host servers onto purpose-built hardware and software.

Artificial Inteligence 52

Artificial Inteligence Azure Machine Learning ChatGPT 52

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity.

Knowledge Base 105

Knowledge Base Artificial Inteligence Generative AI AWS 105

Cloudera

FEBRUARY 4, 2021

They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera Data Platform (CDP) is an end-to-end data management, analytics, and machine learning platform that helps financial services manage their enterprise data. Cloudera is that platform. End-to-end Data Lifecycle. Highly Scalable.

Technical Review 91

Technical Review Marketing Technology Data 91

Cloudera

MARCH 22, 2023

While a business analyst may wonder why the values in their customer satisfaction dashboard have not changed since yesterday, a DBA may want to know why one of today’s queries took so long, and a system administrator needs to find out why data storage is skewed to a few nodes in the cluster.

Metrics 91

Metrics Government Lambda Systems Administration 91

Apiumhub

MARCH 23, 2021

Data Lakes offer agile analytics to measure you are continually evolving business. The foundation of a data lake is a storage system that can accommodate all of the data across an organization, from supplier quality information, to customer transactions, to real time product performance data. What is Data Lake?

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

Cloudera

AUGUST 30, 2022

Meanwhile, innovations such as machine learning, artificial intelligence, blockchain, open APIs, 5G, and cloud require providers to reinvent their technology approach to keep pace, better understand, and better serve their customers. In some cases, firms are surprised by cloud storage costs and looking to repatriate data.

Strategy 110

Strategy Artificial Inteligence Data Budget 110

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 113

Data Artificial Inteligence Analytics Machine Learning 113

O'Reilly Media - Ideas

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Tools for secure and privacy-preserving analytics.

Trends 90

Trends Data Machine Learning Artificial Inteligence 90

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Artificial Inteligence Machine Learning Weak Development Team 90

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Storage zone is where the raw data is stored in its original format. Analytics Data lake design services can provide tools for data analysts and data scientists.

Engineering 52

Engineering Data Storage AWS 52

Kentik

APRIL 12, 2023

Data scientists play a critical role in the DataOps ecosystem, leveraging advanced analytics and machine learning techniques to gain insights from large and complex data sets. DataOps strategies require a robust data infrastructure, including data warehouses, data lakes, caches, and other data storage and processing systems.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52