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

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

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. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 123

Artificial Inteligence Generative AI Security Applications 123

Netflix Tech

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. More than 300 rules have been added to the classifier, yet about 50% of all failures remain unclassified.

Artificial Inteligence 86

Artificial Inteligence Machine Learning Data Systems Review 86

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. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

The Accidental Successful CIO

MAY 15, 2019

CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. As a CIO, when we think about big data we are faced with a number of questions having to do with the importance of information technology that we have not had to deal with in the past.

Big Data 85

Big Data Data Machine Learning Artificial Inteligence 85

CIO

JULY 26, 2023

While the Denver-based company’s cloud transformation long preceded Ligon’s arrival, with various business units adopting AWS and the IT team already developing cloud-native applications, in hiring Ligon, Re/Max’s top brass decided to “bring it all under control” of its first CIO. minutes from the moment the property is listed.

Real Estate 245

Real Estate Data Generative AI Machine Learning 245

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.

Artificial Inteligence 130

Artificial Inteligence Machine Learning Software Engineering Engineering 130

CIO

OCTOBER 13, 2023

According to the survey, 28% of respondents said they have hired data scientists to support generative AI, while 30% said they have plans to hire candidates. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Generative AI 359

Generative AI Company Machine Learning Artificial Inteligence 359

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.

Artificial Inteligence 106

Artificial Inteligence Machine Learning Scalability Data Engineering 106

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.

Artificial Inteligence 70

Artificial Inteligence Machine Learning Analytics Engineering Culture 70

CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 207

Innovation Artificial Inteligence Data Serverless 207

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. Now, with the rise of AI, this power is becoming even more evident.

Artificial Inteligence 273

Artificial Inteligence Strategy Data Machine Learning 273

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

Artificial Inteligence 112

Artificial Inteligence AWS Lambda Metrics 112

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 85

Big Data Technology Tools Cloud 85

Apiumhub

MARCH 23, 2021

One way through which businesses are doing this is through the use of Data Lakes to create a centralized place management infrastructure that allows every organization to manage, store, analyze and classify data. The concept of Data lake architecture has recently become a hot topic. What is Data Lake?

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

CIO

JUNE 7, 2023

These leaders succeed with these real-time AI capabilities in large part because of their ability to aggregate massive amounts of real-time data from customers, devices, sensors, or partners as it moves through applications. This data in turn is used to train and serve machine learning models.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

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. Let’s analyze some of these. . Why is this Considered AI?

Industry 174

Industry Architecture Big Data Machine Learning 174

Cloudera

AUGUST 22, 2024

Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

Innovation 70

Innovation Machine Learning Artificial Inteligence Technical Review 70

Trigent

SEPTEMBER 30, 2021

The adoption of systems based on Artificial Intelligence (AI) and Machine Learning (ML) has seen an exponential rise in the past few years and is expected to continue to do so. With the sporadic growth in these applications, the QA practices and testing strategies for AI/ML applications models also need to keep pace.

Testing 98

Testing Applications Artificial Inteligence Strategy 98

CIO

AUGUST 9, 2022

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect. Becoming a data engineer.

Data Engineering 313

Data Engineering Analytics Engineering Data 313

Perficient

SEPTEMBER 27, 2023

In today’s fast-paced tech landscape, harnessing the potential of artificial intelligence (AI) alongside robust programming languages like Java and dynamic web frameworks like React has become essential for building cutting-edge applications. Java comes with a magnitude of libraries for machine learning such as Deeplearning4j.

Applications 52

Applications Artificial Inteligence Comparison Machine Learning 52

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. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake? Data warehouse vs. data lake in a nutshell.

Architecture 52

Architecture Data Storage Machine Learning 52

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114

Big Data Data CTO Fractional CTO 114

AWS Machine Learning - AI

JULY 1, 2024

Amazon Bedrock simplifies the process of developing and scaling generative AI applications powered by large language models (LLMs) and other foundation models (FMs). The generated response is returned through QnAIntent and sent back to the user in the chat application through Amazon Lex.

Knowledge Base 100

Knowledge Base Artificial Inteligence Generative AI AWS 100

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CTOvision

AUGUST 25, 2014

Current architectures, unfortunately, segment these efforts into distinct, separate systems, requiring costly duplication to provide these capabilities. Enable Advanced Analytics – How an EDH delivers complex analytics like fuzzy search, graph processing, and iterative machine learning. Rethink Analytics. Register at: [link].

Analysis 98

Analysis Architecture Data Big Data 98

AWS Machine Learning - AI

DECEMBER 12, 2023

Variety of tasks such as speech recognition, text generation, and question answering are demonstrated to have stupendous performance by these model architectures. Several recent models such as NeoX , Falcon , Llama use the GPT architecture as a backbone. Both are decoder models following similar architectural design as Chat GPT3.

AWS 97

AWS Artificial Inteligence Training Meeting 97

CIO

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets.

Government 356

Government Data Technical Review Policies 356

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

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. The native traceability support informs the requesting application about the sources used to answer a question.

Knowledge Base 114

Knowledge Base Artificial Inteligence Generative AI AWS 114

O'Reilly Media - Data

MARCH 7, 2018

Watch highlights covering machine learning, business intelligence, data privacy, and more. From the Strata Data Conference in San Jose 2018. Experts from across the data world came together in San Jose, California for the Strata Data Conference. Privacy in the age of machine learning.

Conference 112

Conference Artificial Inteligence Machine Learning Data 112

Cloudera

FEBRUARY 7, 2019

Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale. With the right technology now in place, ATB Financial is landing and curating more data than ever to bring data-driven insights to the business and its customers.

Big Data 68

Big Data Analytics Google Cloud Cloud 68

Mobilunity

NOVEMBER 19, 2023

Forbes reports that 53% of companies are adopting big data analytics, highlighting the growing importance of data-driven insights in today’s business landscape. Data science and analytics professionals earn a median salary of $103,072 , making it one of the highest-paying professions in the U.S.

UI/UX 52

UI/UX Data Machine Learning Artificial Inteligence 52

O'Reilly Media - Ideas

DECEMBER 5, 2018

Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics. Learn new topics and refine your skills with more than 120 new live online training courses we opened up for January and February on our online learning platform. Artificial intelligence and machine learning.

Course 102

Course Artificial Inteligence Training Blockchain 102