OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

CIO

DECEMBER 13, 2023

Generative AI and Foundational Models – Building on applied AI and industrializing machine learning, generative AI has emerged as a powerful force across industries. – It takes assistive technology to new heights, reducing application development time and empowering non-technical users. – Generative AI is expected to contribute up to $4.4

Generative AI 266

Generative AI Trends Machine Learning Artificial Inteligence 266

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

O'Reilly Media - Data

APRIL 3, 2018

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 159

Machine Learning Artificial Inteligence Company Case Study 159

CIO

MAY 30, 2024

Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives. Upon completing the learning modules, you will need to pass a chartered exam to earn the CGAI designation.

Generative AI 341

Generative AI Artificial Inteligence Programming Azure 341

O'Reilly Media - Data

JUNE 26, 2018

Interpreting machine learning models is a pretty hot topic in data science circles right now. Like others in the applied machine learning field, my colleagues and I at H2O.ai have been developing machine learning interpretability software for the past 18 months or so. Figure courtesy of H2O.ai.

Machine Learning 150

Machine Learning Artificial Inteligence Testing Training 150

OTS Solutions

JUNE 2, 2023

The fourth industrial revolution or Industry 4.0 This article explores how Industry 4.0 Introduction to Industry 4.0 and Predictive Maintenance Understanding Industry 4.0 Industry 4.0, Introduction to Industry 4.0 and Predictive Maintenance Understanding Industry 4.0 Industry 4.0,

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

CIO

MARCH 6, 2024

As Industry 4.0 Examples of these newly connected systems and assets include industrial control systems (ICS), remote terminal units (RTUs), and distributed control systems (DCS). Security is paramount for the core infrastructure that supports manufacturing and industrial operations.

IoT 301

IoT Machine Learning Artificial Inteligence Policies 301

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. Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms.

Machine Learning 122

Machine Learning Artificial Inteligence Analysis Energy 122

Hacker Earth Developers Blog

MAY 22, 2020

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.

Machine Learning 130

Machine Learning Artificial Inteligence Software Engineering Engineering 130

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

Crunchbase News

APRIL 9, 2024

Lightbulb moment Most enterprise applications are built like elephants: Giant databases, high CPU machines, an inside data center, blocking architecture, heavy contracts and more. You can get infrastructure as code with the click of a button and create a distributed architecture that makes sense for your business.

Architecture 82

Architecture Enterprise How To Weak Development Team 82

TechCrunch

MAY 25, 2022

began demoing an accelerator chipset that combines “traditional compute IP” from Arm with a custom machine learning accelerator and dedicated vision accelerator, linked via a proprietary interconnect, To lay the groundwork for future growth, Sima.ai by the gap he saw in the machine learning market for edge devices. .

Artificial Inteligence 238

Artificial Inteligence Machine Learning Hardware Architecture 238

Palo Alto Networks

FEBRUARY 22, 2024

Palo Alto Networks and Kyndryl see this acceleration happening across many industries – from factory floors to warehouses, mining sites to energy operations. Innovation in the Industrial Edge Kyndryl and Palo Alto Networks have established a private 5G, Industry 4.0 The post Palo Alto Networks and Kyndryl: Unlocking Industry 4.0

Network 83

Network Industry Artificial Inteligence Artificial Intelligence 83

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. It’s used in a variety of industries to improve efficiency and accuracy.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 320

Data Database Administration Data Engineering Artificial Inteligence 320

CIO

APRIL 26, 2024

Once completed within two years, the platform, OneTru, will give TransUnion and its customers access to TransUnion’s behemoth trove of consumer data to fuel next-generation analytical services, machine learning models and generative AI applications, says Achanta, who is driving the effort, and held similar posts at Neustar and Walmart.

Artificial Inteligence 235

Artificial Inteligence Generative AI Machine Learning Analytics 235

CIO

JULY 26, 2023

The residential real estate industry may not be perceived to be as digitally aggressive as Wall Street titans and multinational manufacturing conglomerates. We made a commitment to be truly cloud native and build an architecture that wasn’t burdened by any legacy infrastructure,” says Cox.

Real Estate 236

Real Estate Data Generative AI Machine Learning 236

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. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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

Hacker Earth Developers Blog

JUNE 24, 2019

When it comes to understanding computing processes, especially in today’s front end and backend development world, most of the times everything revolves heavily around analyzing the algorithmic architecture in tools, applications, or more complex pieces of software. Which Rendering Languages are Used. Why is this Considered AI?

Industry 174

Industry Architecture Big Data Machine Learning 174

CIO

OCTOBER 13, 2023

Generative AI is quickly changing the landscape of the business world, with rapid adoption rates across nearly every industry. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Generative AI 358

Generative AI Company Machine Learning Artificial Inteligence 358

Cloudera

AUGUST 31, 2018

We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Witnessing these challenges, we focused on solving them through machine learning applied to workload and cluster optimization.

Machine Learning 67

Machine Learning Artificial Inteligence Analytics Engineering Culture 67

Apiumhub

OCTOBER 16, 2018

Machine learning is a branch of computer science that uses statistical methods to give computers the ability to self-improve without direct human supervision. Machine learning frameworks have changed the way web development companies utilize data. 5 Best Machine Learning Frameworks for Web Development.

Artificial Inteligence 75

Artificial Inteligence Machine Learning Web Development Software Review 75

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. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

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? No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

CIO

MAY 2, 2024

These include the accelerating transition to cloud platforms, the growth of hybrid and remote work models, and the rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies across every industry. As IT leaders, understanding the path forward is crucial.

Data Center 206

Data Center Artificial Inteligence Data Sustainability 206

Netflix Tech

DECEMBER 10, 2020

To mitigate this uncertainty, executives throughout the entertainment industry have always consulted historical data to help characterize the potential audience of a title using comparable titles, if they exist. For tags, we directly learn tag representations by considering each title as a tag collection, or a “bag-of-tags”.

Machine Learning 94

Machine Learning Artificial Inteligence Film Training 94

CIO

NOVEMBER 22, 2022

Are they successfully untangling their “spaghetti architectures”? Untangling Their ‘Spaghetti Architectures’ Retailers have long used back-end technologies to run specific aspects of their business. To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems.

Retail 323

Retail Minimum Viable Product Architecture Machine Learning 323

CIO

OCTOBER 4, 2023

There’s also strong demand for non-certified security skills, with DevSecOps, security architecture and models, security testing, and threat detection/modelling/management attracting the highest pay premiums. Careers, Certifications, IT Skills, Technology Industry

Security 314

Security Artificial Inteligence Generative AI Blockchain 314

O'Reilly Media - Data

JULY 18, 2018

Much of the focus of recent press coverage has been on algorithms and models, specifically the expanding utility of deep learning. Because large deep learning architectures are quite data hungry, the importance of data has grown even more. Economic value of data. Economic value of data.

Machine Learning 142

Machine Learning Artificial Inteligence Data Marketing 142

CIO

NOVEMBER 17, 2023

And it is the chain’s hefty multicloud architecture, anchored by Aviatrix’s cloud networking and Equinix’s interconnection technology, that enables Turner to bring the hotel empire much closer to its key customers — business and leisure guests, as well as hotel owners. Digital Transformation, Multi Cloud, Travel and Hospitality Industry

Hotels 321

Hotels Generative AI Architecture Travel 321

CIO

NOVEMBER 8, 2023

As such, Kay’s biggest challenge in setting the stage for her digital ambitions — and one that has involved the entire C-suite — has been unifying the IT operations of Principal Financial’s individual businesses units in order to develop an enterprise-wide data foundation and cloud architecture on which to build its next-generation services.

Technical Review 279

Technical Review Software Review Generative AI Machine Learning 279

UruIT

JULY 23, 2019

Most recommended development and deployment platforms for machine learning projects. Are you getting started with Machine Learning? There’s a forecasted demand for Machine Learning among all kinds of industries. Innovative machine learning products and services on a trusted platform.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

Altexsoft

MARCH 30, 2020

The average cost of unplanned downtime in energy, manufacturing, transportation, and other industries runs at $250,000 per hour or $2 million per working day. Predictive maintenance became possible due to the arrival of Industry 4.0, Similar to preventive maintenance, PdM is a proactive approach to servicing of machines.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

CIO

OCTOBER 20, 2023

Aside from digitally rebuilding its processes, Allstate has also methodically adopted a multicloud architecture based primarily on AWS for containers and development, and Google BigQuery and Vertex and Microsoft Azure GenAI for specialized AI workloads. Cloud Computing, Digital Transformation, Insurance Industry, IT Leadership

Cloud 340

Cloud Insurance Generative AI Machine Learning 340

Xebia

AUGUST 9, 2023

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. Demand forecasting is chosen because it’s a very tangible problem and very suitable application for machine learning.

System Design 130

System Design Systems Review System Machine Learning 130