CIO

AUGUST 2, 2022

Data analytics and business intelligence are critical to every business, but especially important in the energy industry, as information is channeled from consumers and commercial clients related to usage that feeds into AES’ sustainability and services planning. Analytics, Data Management

Energy 244

Energy Data Sustainability Machine Learning 244

N2Growth Blog

APRIL 11, 2024

Artificial Intelligence , machine learning, and data analytics have emerged as clear frontrunners. Relying solely on technological tools can lead to oversight or bias in human potential, as these tools tend to base their analysis on quantifiable data.

Trends 177

Trends Artificial Inteligence Technical Review Artificial Intelligence 177

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

Cherry Work

MAY 9, 2023

Use advanced analytics techniques to analyze this data and identify patterns, correlations, and insights that can inform your pricing decisions. Conduct A/B tests, price elasticity analysis, or other experiments to assess the effectiveness of different pricing approaches and optimize your pricing strategy accordingly.

Machine Learning 130

Machine Learning Artificial Inteligence Analysis Strategy 130

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

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

CIO

NOVEMBER 21, 2023

These efforts include the integration of machine learning algorithms and other AI-based solutions to enhance data processing, analysis, and utilization. As the department’s chief data officer over the past three-plus years, I have worked at the forefront of data management and analysis.

Artificial Inteligence 300

Artificial Inteligence Artificial Intelligence Machine Learning Leadership 300

CIO

JANUARY 18, 2023

This person could be an ideal internal candidate for a position in predictive analytics, big data analysis, or even machine learning related roles. For example, there may be someone working in the accounting department that has a college degree in applied mathematics.

Technical Review 300

Technical Review Systems Review Systems Administration SCRUM 300

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

OTS Solutions

DECEMBER 22, 2023

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

CIO

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Use real-time data for business agility, efficient operations, and more.

Data 307

Data Fractional CTO Artificial Inteligence Systems Review 307

CIO

SEPTEMBER 14, 2022

Demand has increased so much that IT job postings in manufacturing doubled between May 2021 and 2022, according to Dice.com, with increased demand for skills such as agile development, Python, software development, automation, C++, SQL, and Java, among others. Business analyst.

Technical Advisors 291

Technical Advisors Software Engineering Software Development Hardware 291

Trigent

FEBRUARY 9, 2023

In today’s fast-paced business landscape, automation is becoming a critical tool for organizations looking to remain agile. Finally, you will better understand why intelligent automation is the key to unlocking business efficiency and agility. Table of Contents Let’s unravel what Hyperautomation is!

Artificial Inteligence 52

Artificial Inteligence Agile Artificial Intelligence Technical Review 52

CIO

JANUARY 11, 2023

Critical IT skills, especially in cybersecurity, artificial intelligence, and machine learning, have long been in short supply, and the current labor shortage is intensifying the need for such professionals, Kirkwood notes. level talent while embracing the latest data mining, data analysis, and analytical tools.

Fractional CTO 363

Fractional CTO Artificial Inteligence Technical Advisors Budget 363

Invid Group

MAY 27, 2020

Why Predictive Analysis Tools are Important for your Business BY: NEISHA SANTIAGO Predictive Analysis is the use of data, statistical algorithms, and machine learning procedures to identify the likelihood of anticipated results based on historical data. Why is Predictive Analysis So Important for Your Organization?

Analysis 52

Analysis Tools Airlines Analytics 52

Trigent

FEBRUARY 9, 2023

In today’s fast-paced business landscape, automation is becoming a critical tool for organizations looking to remain agile. Finally, you will better understand why intelligent automation is the key to unlocking business efficiency and agility. Table of Contents Let’s unravel what Hyperautomation is!

Agile 52

Agile Artificial Inteligence Artificial Intelligence Technical Review 52

OTS Solutions

JANUARY 11, 2024

With the emergence of AI, ML, DevOps, AR VR cloud computing, the Internet of Things (IoT), data analytics, digital transformation, application modernization, and other digital technologies, IT practice in mental health therapy is undergoing significant changes. The Role of Data Analytics in Enhancing Mental Health Therapy 1.

Technical Review 130

Technical Review VR Technology IoT 130

TechCrunch

NOVEMBER 4, 2021

But most of the time, this data simply ends up in a dashboard for some scattershot analysis. It’s one thing to have good data and analytical insights, after all, but that’s not going to help your development processes if there is a disconnect between this information and actually taking actions based on it.

Engineering 199

Engineering Artificial Inteligence DevOps Machine Learning 199

CIO

MARCH 24, 2023

To counter that, BARC recommends starting with a manageable or application-specific prototype project and then expanding across the company based on lessons learned. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets.

Government 357

Government Data Technical Review Policies 357

TechCrunch

MAY 3, 2023

The platform provides various tools and apps for accomplishing different tasks across freight procurement, trade and transport management, freight audit and payment and document management, as well as dispatch planning and analytics. Customers can customize the tools and apps or build their own using Pando’s APIs.

Transportation 252

Transportation Survey Retail Enterprise 252

Cloudera

OCTOBER 31, 2023

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. Luckily, when CML isn’t solving the world’s most ambitious predictive challenges for enterprise businesses, it’s the perfect tool for this kind of agile and ad-hoc data science discovery.

Machine Learning 80

Machine Learning Artificial Inteligence Analysis Travel 80

Mobilunity

MARCH 29, 2024

These services include a group of AI tools, like machine learning, natural language processing, and predictive analytics. Improved Decision Making: Advanced analytics and predictive models provide actionable insights, enabling more informed decision-making.

Technical Review 52

Technical Review Artificial Inteligence Development Machine Learning 52

TechCrunch

DECEMBER 12, 2022

“Beamery is helping the world’s largest employers with this talent agility, and allowing them to unlock the potential of their workforce.” According to an analysis from WorkTech, the first half of this year saw the second-largest global work tech investment, surging to $9.4 billion, with $4.6

Weak Development Team 248

Weak Development Team Agile .Net Machine Learning 248

OTS Solutions

MAY 2, 2023

Digital transformation enables business models and revenue streams to enhance operational efficiency and agility and improves customer engagement and loyalty. Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

TIBCO - Connected Intelligence

DECEMBER 4, 2020

As such, the following is an index of these rolled up trends as themes which echoed persistently from industry analysts as top analytics trends for 2021. Very complex global market conditions will demand more shifts and pivots again in 2021, and organizations will need to be lean and agile enough to respond in real time.

Analytics 53

Analytics Trends Artificial Inteligence Artificial Intelligence 53

TIBCO - Connected Intelligence

MAY 25, 2021

The TIBCO Analytics Forum (TAF) 2021 is already off to a great start with a day full of captivating keynotes around today’s most pressing digital challenges, customer presentations on successful use cases, product trainings, technical deep dives, and more. Michael O’Connell and Ben Schneiderman discussed early interactive visual analysis.

Analytics 43

Analytics Enterprise Film Artificial Inteligence 43

Kentik

APRIL 12, 2023

DataOps is a methodology that aims to streamline and automate managing and delivering data throughout its lifecycle, from ingestion to analysis and visualization. At the heart of DataOps is the agile development methodology, which emphasizes collaboration, iteration, and continuous delivery.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

OTS Solutions

JUNE 16, 2023

Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility. Refactored app applications are easier to maintain and modify than legacy systems, reducing the cost of operations, enhancing agility, and boosting productivity.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Trigent

MARCH 10, 2023

As supply chains and logistics become increasingly digitalized, organizations are looking to develop capabilities for a digital ecosystem to make their operations more resilient and agile. Discover how Hyperautomation can help you automate and optimize your processes for increased efficiency and agility. Trigent Software Inc.

Artificial Inteligence 52

Artificial Inteligence Transportation Analytics Artificial Intelligence 52

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. This makes them ideal for more advanced analytics activities, including real-time analytics and machine learning.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

OCTOBER 26, 2021

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. Luckily, when CML isn’t solving the world’s most ambitious predictive challenges for enterprise businesses, it’s the perfect tool for this kind of agile and ad-hoc data science discovery.

Machine Learning 104

Machine Learning Artificial Inteligence Analysis Travel 104

Newgen Software

FEBRUARY 12, 2024

Content intelligence tools like machine learning can effectively identify duplicate records, mismatches, and other exceptions, which helps organizations improve efficiency, cut costs, and eliminate the ‘busy work.’ Data analytics can also help organizations analyze the customer base and accordingly draft business strategies.

Machine Learning 40

Machine Learning Artificial Inteligence Compliance Enterprise 40

OTS Solutions

JUNE 16, 2023

Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility. This analysis involves identifying the current operating system, middleware, and databases used by the application.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Xebia

MARCH 10, 2021

Therefore these organisations introduce a new capability: Data & Analytics. This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. Data & Analytics should be able to provide the business with insights so that they can make better business decisions.

DevOps 130

DevOps Data Analytics Policies 130

Perficient

MARCH 28, 2023

As the pace of digital transformation in companies speeds up, increased complexity and volatility are creating the need for supply chain organizations to adapt their investments in technology to better align with the requirements of increased agility, resiliency, and intelligent operations.

Artificial Inteligence 64

Artificial Inteligence Artificial Intelligence Project Management Film 64

Tandem

AUGUST 9, 2023

By adopting an agile, bottom-up-and-top-down approach to data strategy, your organization can instill a data-driven culture that connects departments and domains, breaking down silos and unlocking the true value stored in organizational data. These tools add value by improving trust in data and ensuring compliance with data regulations.

Data 52

Data Culture Analysis Machine Learning 52

Cloudera

FEBRUARY 4, 2021

They need a comprehensive data and analytics platform to model risk exposures on-demand. All of this places increased pressure on firms to have greater flexibility and agility within their risk platforms. SDX enables safe and compliant self-service access to data and analytics. Cloudera is that platform. Highly Scalable.

Technical Review 89

Technical Review Marketing Technology Data 89