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. One of the critical areas that have benefited from these technological advancements is predictive maintenance. Introduction to Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

Sunflower Lab

OCTOBER 2, 2023

Choosing the Ultimate Data Analytics Tool As a digital service providing enterprise, we constantly find ways to help a business through technology, and with this due process we find new innovative ideas and tools which are yet to be implemented by many of the enterprises in their system.

Azure 40

Azure Analytics UI/UX Software Review 40

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 147

Innovation Artificial Inteligence Data Serverless 147

CIO

OCTOBER 13, 2023

Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. For most companies, AI systems rely on large datasets, which require the expertise of data scientists to navigate.

Generative AI 358

Generative AI Company Machine Learning Artificial Inteligence 358

CTOvision

NOVEMBER 30, 2015

In this post we dive deeper into the trend of Big Data. Breakthrough methodologies and new scalable data approaches based around Hadoop hold great promise to helping us make sense over increasingly large data sets. Sensemaking is key to success in most all other technology advancements.

Big Data 68

Big Data Technology Data Trends 68

InfoWorld

FEBRUARY 5, 2024

Key factors driving global NoSQL market growth, according to the report, are the exploding demand for big data analytics, a need for more scalable and flexible enterprise database solutions, and the ubiquity of cloud computing platforms and technology. To read this article in full, please click here

How To 82

How To Big Data Scalability Analytics 82

CloudSphere

AUGUST 10, 2023

Not only were HR team members responsible for recruitment and retention efforts within a company, but they were also expected to perform functions like payroll, benefits administration, and record-keeping. In recent years, however, HR has begun a transformative journey fueled by the integration of technology.

Technical Review 52

Technical Review Technology Artificial Inteligence Artificial Intelligence 52

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

TechCrunch

SEPTEMBER 27, 2021

Now a startup that has built technology to make that process move faster and more efficiently is announcing a round of funding to address those enterprises’ evolving needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics. ” . .

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. How do you know which technologies deserve your time and energy? We have produced The Analyst One Top Technologies List to help you address those questions.

Technical Review 99

Technical Review Analytics Technology Big Data 99

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

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

N2Growth Blog

JANUARY 29, 2024

The AI-geared approach in the recruitment process involves machine learning algorithms and data-driven insights to identify, sort, and evaluate potential candidates. This technology circumvents inherent human biases and ensures efficiency and consistency, enabling headhunters to draw from a more diverse talent pool.

Artificial Inteligence 86

Artificial Inteligence Artificial Intelligence Recruiting Big Data 86

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Google Cloud Data Azure 71

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

TIBCO - Connected Intelligence

MAY 20, 2021

Want to learn about the top-trending energy and utilities (E&U) analytics and data management strategies that are helping companies evolve apace the rapid changes that characterize the industry? If so, join us May 25-26 for our virtual event, TIBCO Analytics Forum (TAF) 2021. Reading Time: 2 minutes.

Analytics 46

Analytics Energy Industry Big Data 46

Perficient

MARCH 19, 2024

BigQuery’s scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes. BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. What data visualization tools should I use?

Data 111

Data Google Cloud Analytics Serverless 111

CTOvision

JUNE 7, 2016

In this post we dive deeper into the trend of Big Data. Breakthrough methodologies and new scalable data approaches based around Hadoop hold great promise to helping us make sense over increasingly large data sets. Sensemaking is key to success in most all other technology advancements.

Big Data 64

Big Data Data Scalability Trends 64

Apiumhub

AUGUST 20, 2018

The key to efficient, integrous data analysis is a team-based intelligent analytical approach. This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. This means sorting through the data with the help of a data analyst.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

Sunflower Lab

APRIL 2, 2024

Imagine a business world where your decisions are not just guided by past data, they are turbo-charged by insights that peer into the future, giving you a strategic advantage that feels almost unfair. That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

CIO

FEBRUARY 14, 2023

DataStax Real-time data and decisioning First, a few quick definitions. Real-time data involves a continuous flow of data in motion. It’s streaming data that’s collected, processed, and analyzed on a continuous basis. report they have established a data culture 26.5% report they have a data-driven organization 39.7%

Artificial Inteligence 275

Artificial Inteligence Strategy Data Machine Learning 275

CIO

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Government 356

Government Data Technical Review Policies 356

CTOvision

FEBRUARY 24, 2014

By Bob Gourley Note: we have been tracking Cloudant in our special reporting on Analytical Tools , Big Data Capabilities , and Cloud Computing. Cloudant will extend IBM’s Big Data and Analytics , Cloud Computing and Mobile offerings by further helping clients take advantage of these key growth initiatives.

Big Data 107

Big Data Mobile Cloud Data 107

OTS Solutions

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. These advancements have significantly enhanced productivity, safety, and accuracy in manufacturing processes.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

CTOvision

OCTOBER 27, 2014

These are some of the hot technology stories we are following… The Mysterious Company That Has Tech Giants Dropping 2 Million. Increased Technology Innovation Necessary to Grow Business. Big Data Product Watch 10/17/14: Big Three Make Big Moves. Cloudera CTO on Big Data analytics and security risks.

Technical Review 103

Technical Review Technology Big Data Firewall 103

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. The Complications Of Analyzing SAP Data. For modern enterprises in 2021, it’s a challenge to find a cost-efficient, feasible out of box integration with non-SAP data for analytics. The Importance of a Cloud-Based, SQL Analytics System.

Azure 52

Azure Analytics Data Artificial Intelligence 52

Perficient

MAY 23, 2023

In today’s rapidly evolving world, the convergence of digital technology and manufacturing has revolutionized the way products are designed, produced, and delivered – and the pace of that revolution is only increasing. Digital technology has become an indispensable tool for manufacturers across industries.

Technology 59

Technology Artificial Inteligence IoT Azure 59

Hu's Place - HitachiVantara

OCTOBER 9, 2018

Hitachi Vantara is committed to providing customers of our IT infrastructure products with the latest technology innovations to address their evolving business and data requirements. These Innovations include: DS7000 Scalable Servers , NVIDIA Tesla GPUs , All NVMe , and 3D XPoint storage memory.

3D 61

3D Scalability Storage Technology 61

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

Perficient

NOVEMBER 29, 2023

Understanding Azure OpenAI: Azure OpenAI is a collaboration between Microsoft Azure and OpenAI, two giants in the technology industry. Azure OpenAI Services Azure OpenAI provides a range of AI services that cater to different aspects of technology.

Azure 52

Azure Artificial Inteligence Machine Learning Artificial Intelligence 52

CTOvision

SEPTEMBER 4, 2014

On July 30 th in northern Virginia, some of the greatest minds in analytics for business, outcomes, and mission impact gathered to share their lessons learned and experiences with data analytics. Connecting data scientists and software engineers,” Mr. Sorensen declared, “was something of a magic formula.”.

Analytics 88

Analytics Data Software Engineering Big Data 88

Kaseya

NOVEMBER 9, 2023

Cloud computing leverages virtualization technology that enables the creation of digital entities called virtual machines. Storage: Cloud storage acts as a dynamic repository, offering scalable and resilient solutions for data management. How does cloud computing work?

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

OTS Solutions

NOVEMBER 26, 2023

Multi-cloud is important because it reduces vendor lock-in and enhances flexibility, scalability, and resilience. By diversifying cloud services, organizations can optimize performance, access innovative technologies, mitigate risks, and cost-effectively meet their specific business needs. transformation?

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

Altexsoft

FEBRUARY 3, 2020

This is only one but a very important parameter that proves the power of big data in modern business operations. The only way to exploit huge information bases is to use data analytics platforms. Data Analytics Definition, Stats, and Benefits. Data Analytics Definition, Stats, and Benefits.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

O'Reilly Media - Data

JUNE 5, 2018

As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons: Organizational immaturity with regard to change management based on the findings of data science.

Data 118

Data Big Data Systems Review Technical Review 118