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

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 271

Artificial Inteligence Strategy Data Machine Learning 271

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 219

Technical Advisors Artificial Inteligence Generative AI How To 219

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

CIO

JANUARY 31, 2024

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is There’s also the matter of all the attention massive models have received in the press.

Sustainability 290

Sustainability Data Center Artificial Intelligence Artificial Inteligence 290

Altexsoft

MARCH 30, 2020

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Mobilunity

DECEMBER 28, 2022

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. The Services That Machine Learning Engineers Can Offer. ML modeling.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

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

CIO

JANUARY 26, 2024

One need only look within Ford’s executive ranks to see the technology talent driving its digital future: Doug Field, Ford’s chief electric vehicle (EV) and digital systems officer, and Rob Bedicheck, executive director of platform architecture, were both recruited from Apple. We use the cloud software that we’re building.

Business Transformation 276

Business Transformation Cloud Automotive IoT 276

Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. It’s vital for understanding surroundings in IoT applications. Source: Audio Singal Processing for Machine Learning.

Machine Learning 122

Machine Learning Artificial Inteligence Analysis Energy 122

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT.

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

Perficient

DECEMBER 2, 2022

The basic flow of data can be summarize like so: Events are emitted by IoT devices over OPC-UA or MQTT to a local broker. Part of the data is (selectively) copied to a message broker for event-driven services, streaming analytics. Messages are also (selectively) transferred to the cloud for analytics and global integration.

IoT 69

IoT Systems Review Software Review Industry 69

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunications 84

Telecommunications Architecture Data Government 84

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

APRIL 13, 2021

To compete, insurance companies revolutionize the industry using AI, IoT, and big data. But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation. Smart claim triaging using predictive analytics. Introduce analytics technology.

Machine Learning 87

Machine Learning Artificial Inteligence Insurance Technical Review 87

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

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10.

Big Data 52

Big Data Analytics Data Analysis 52

CIO

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI We need to continue to be mindful of business outcomes and apply use cases that make sense.” asks Srivastava.

Enterprise 318

Enterprise Generative AI Technical Review Artificial Inteligence 318

CIO

JULY 19, 2023

When IoT becomes the driver of a new solutions P&L, the general manager of that business will need more technology acumen than general managers of the past. The first is to expand its managed print services business beyond the traditional large enterprise market into small- and medium-sized businesses.

Leadership 161

Leadership IoT Transportation Strategy 161

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

Apiumhub

SEPTEMBER 20, 2023

From software architecture to artificial intelligence and machine learning, ​​these conferences offer unparalleled insights, networking opportunities, and a glimpse into the future of technology. Learn more about the speakers and check out their schedule by visiting their site here.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102

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 111

Analytics Open Source Government Machine Learning 111

AWS Machine Learning - AI

FEBRUARY 6, 2024

This solution uses the SageMaker JumpStart AI21 Jurassic Jumbo Instruct and AI21 Summarize models to extract and create the documents. The following diagram illustrates the solution architecture. Amazon SQS enables a fault-tolerant decoupled architecture. It captures the message ID returned by Amazon SQS.

Generative AI 94

Generative AI AWS Lambda Technical Review 94

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 218

Sustainability Innovation Artificial Inteligence Energy 218

CIO

OCTOBER 13, 2022

There are also opportunities to improve application code and architecture post a lift-and-shift migration to public hyperscaler platforms like AWS. AWS cloud infrastructure, in particular, has significant energy efficiency advantages. An AWS/451 Research report shows that AWS public cloud infrastructure is 3.6

Sustainability 147

Sustainability Artificial Inteligence AWS Data Center 147

TechCrunch

FEBRUARY 18, 2022

– Artificial intelligence-powered remote patient monitoring wearable technology. XRHealth Virtual Clinic – Integrates VR/AR, licensed clinicians and real-time data analytics. Eatron Technologies – Intelligent production-ready software solution for the automotive industry and mobility. Somatix, Inc.

3D 221

3D Artificial Inteligence VR Programming 221

OTS Solutions

JULY 18, 2023

In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering. Artificial intelligence and machine learning will also play a significant role in automating and optimizing DevOps processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

CIO

JANUARY 12, 2023

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. An edge computing architecture can begin to help solve these problems. A lot of it.

Technical Review 189

Technical Review Technology Innovation Data Center 189

Altexsoft

AUGUST 22, 2022

In this post, we’ll attempt to explain the idea behind a data fabric, its architectural building blocks, the benefits it brings, and ways to approach its implementation. Data fabric architecture example. Use of artificial intelligence and machine learning. powered by machine learning.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics. Supply chain management process.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

JANUARY 30, 2023

With these massive volumes of data, it’s common for agencies and enterprises to determine the data that is readily accessible and essential to mission success and prioritize for analytics. Some examples include employee records, internal and external communications, photo, video, and audio files, IoT sensor data, and streamed data.

Data 83

Data IoT Machine Learning Artificial Inteligence 83

Altexsoft

SEPTEMBER 23, 2021

Because it is scattered across disparate systems, hardly available for analytical apps. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. Data hubs are often opposed to data warehouses and data lakes as different approaches to a data platform architecture.

Architecture 52

Architecture Data Storage IoT 52

Cloudera

DECEMBER 18, 2018

Standards and architectures are the guidelines that ensure the ability for open source software to integrate, exchange and interact. Defining these is, therefore, a crucial element, and Cloudera is now taking part in just that for the biggest revolution we’ve seen in business and society: the Internet of Things (IoT).

IoT 43

IoT Open Source Architecture Machine Learning 43

Altexsoft

JANUARY 11, 2019

So, let’s analyze the data science and artificial intelligence accomplishments and events of the past year. Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. But it’s a great time for a retrospective.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40