CIO

SEPTEMBER 21, 2023

It made predictions and analytics broadly accessible and put the power of data in the hands of people who needed it, exactly when they needed it, and in the form that was most useful to them. This is where large language models get me really excited. In August, Meta continued releasing models.

Artificial Inteligence 319

Artificial Inteligence Enterprise Trends ChatGPT 319

CIO

AUGUST 8, 2023

By bringing compute power closer to the point of action, edge computing allows real-time data processing, analytics, and decision-making, thereby improving the well-being and efficiency of front-line workers. Traditional, centralized computing architectures cannot deliver the speed and reliability required for critical frontline tasks.

Industry 235

Industry Artificial Inteligence Artificial Intelligence Machine Learning 235

Cloudera

MARCH 28, 2024

More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs). As organizations continue to navigate this AI-driven world, we set out to understand the strategies and emerging data architectures that are defining the future.

Architecture 94

Architecture Strategy Data Survey 94

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Cloudera

JUNE 13, 2024

You could argue that the Big Data and analytics movement would not have happened without Cloudera. Welcome to Today’s Cloudera Since the Big Data era, Cloudera has made massive investments with the north star of delivering customer-focused innovation wherever our customers run their business-critical data and analytics.

Artificial Inteligence 92

Artificial Inteligence Technical Review Big Data Machine Learning 92

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 274

Artificial Inteligence Strategy Data Machine Learning 274

Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Artificial Intelligence 52

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. Meaningful results, and a scalable, flexible data architecture demand a ‘true’ hybrid cloud approach to data management.

Cloud 99

Cloud Artificial Inteligence Data Center Artificial Intelligence 99

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Cloudera

JUNE 29, 2023

Technology alone would not have prevented the banking crisis, but the fact remains that financial institutions still aren’t leveraging technology as creatively, intelligently, and cost-effectively as they should be. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Architecture 85

Architecture Data Artificial Inteligence How To 85

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. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CIO

MAY 10, 2024

A second product, Boomi DataHub, also launched during the Boomi World conference this week, allows organizations to manage the information that underpins AI and data analytics projects. It also bolstered the scalability and security of its platform by acquiring API management assets — the former Mashery product — from Cloud Software Group.

Conference 243

Conference Machine Learning Artificial Inteligence Programming 243

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Generative AI 358

Generative AI Company Machine Learning Artificial Inteligence 358

TechCrunch

AUGUST 16, 2022

“It became clear that today’s data needs are incompatible with yesterday’s data center architecture. ” Pliops isn’t the first to market with a processor for data analytics. Oracle’s SPARC M7 chip has a data analytics accelerator coprocessor with a specialized set of instructions for data transformation.

Data Center 208

Data Center Analytics Weak Development Team Data 208

CTOvision

DECEMBER 28, 2015

We know you, dear readers, have been tracking the megatrend of artificial intelligence. The list is by no means comprehensive, but is definitely representative of what is available now: Artificial Intelligence On Your Phone: Siri : Part of Apple's iOS, watchOS and tvOS. Intelligent personal assistant.

Artificial Inteligence 103

Artificial Inteligence Artificial Intelligence Tools Machine Learning 103

Netflix Tech

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. All data should be also available for offline analytics in Hive/Iceberg. All of these services at a later point want to annotate their objects or entities.

Scalability 113

Scalability Video Media Examples 113

CIO

AUGUST 9, 2023

Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.” Advances in hardware boost the performance and scalability of generative AI systems. Learn more here. Artificial Intelligence

Generative AI 218

Generative AI Storage Scalability Artificial Intelligence 218

Cloudera

AUGUST 30, 2022

Data quality issues deter trust and hinder accurate analytics. Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Forrester ).

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. S&P Global, for example, is entering its AI 2.0

Technical Advisors 221

Technical Advisors Artificial Inteligence Generative AI How To 221

Perficient

MARCH 15, 2024

Forrester highlights cloud transformation as a key example, explaining that “Migration to the cloud continues to dominate the enterprise applications roadmap for large companies that want to scale their operations and decision-making in order to win, serve, and retain customers in more transparent and competitive markets.”

Government 59

Government Report Artificial Inteligence Applications 59

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. This is the promise of the modern data lakehouse architecture. These challenges require architecture changes and adoption of new table formats that can support massive scale, offer greater flexibility of compute engine and data types, and simplify schema evolution. .

Architecture 102

Architecture Innovation Data Open Source 102

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".

Machine Learning 123

Machine Learning Artificial Inteligence How To Case Study 123

CIO

JANUARY 9, 2023

In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture. 2] Here, we explore the demands and opportunities of edge computing and how an approach to Business Outcomes-as-a-Service can provide end-to-end analytics with lowered operational risk.

IoT 312

IoT Technical Review Company Data 312

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Scalability 94

Scalability Technical Review Data Analytics 94

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). With Snowflake and DataRobot, organizations can capture this data and rapidly develop artificially intelligent applications that immediately impact the bottom line. Factory Monitoring?—?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

TechCrunch

JANUARY 23, 2023

The consulting giant reportedly paid around $50 million for Iguazio, a Tel Aviv-based company offering an MLOps platform for large-scale businesses — “MLOps” referring to a set of tools to deploy and maintain machine learning models in production.

Machine Learning 222

Machine Learning Artificial Inteligence ChatGPT Continuous Delivery 222

CIO

FEBRUARY 20, 2024

The US Commerce Department in January, for example, proposed a rule banning Chinese companies from training their LLM models in US cloud environments. Scalability in the event of widespread emergency Many enterprise IT executives see the cloud as delivering near-infinite scalability — something that is not mathematically true.

Enterprise 285

Enterprise Strategy Cloud Technical Review 285

Perficient

MARCH 29, 2023

Set up the SAP Data Hub environment, connect to the SAP data, set up a pipeline with Pipeline Modeler, configure the Streaming Analytics Service, setup Kafka or MQTT and receive the streaming data in Databricks with Spark Streaming. Data lakehouses enable business intelligence (BI) and machine learning (ML) on all data.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

Apiumhub

MARCH 9, 2021

In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations. What is Data Architecture. Data architecture components. But it is much more than that.

Architecture 52

Architecture Data Artificial Inteligence Artificial Intelligence 52

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 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. RAG is a popular technique that combines the use of private data with large language models (LLMs).

Knowledge Base 105

Knowledge Base Artificial Inteligence Generative AI AWS 105

Cloudera

OCTOBER 31, 2023

Cloudera recently signed a strategic collaboration agreement with Amazon Web Services (AWS), reinforcing our relationship and commitment to accelerating and scaling cloud native data management and data analytics on AWS. Our vision is to make it easier, more economical, and safer for our customers to maximize the value they get from AI.

Generative AI 104

Generative AI Artificial Inteligence AWS Innovation 104