TIBCO - Connected Intelligence

JULY 16, 2020

In our continuing commitment to accelerate digital business transformation through the use of artificial intelligence (AI) and machine learning (ML), TIBCO unveiled the capabilities of TIBCO Spotfire ® and TIBCO ® Data Science to support Microsoft Azure Cognitive Services at a recent Build conference. Reading Time: 2 minutes.

Artificial Inteligence 49

Artificial Inteligence Machine Learning IoT Internet 49

CIO

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge-based predictive maintenance reduces downtime and improves operational efficiency. billion in 2027 with a compound annual growth rate (CAGR) of 86.1% Personalization.

Artificial Inteligence 231

Artificial Inteligence Storage Artificial Intelligence Retail 231

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. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

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

Altexsoft

SEPTEMBER 10, 2022

The Internet of Things (IoT) and machine learning that are powering smart hotel applications are accessible to everyone bold enough to try. Here, we will explain what comprises the smart hotel and how you can join the future by establishing an IoT architecture. IoT hospitality applications. What is a smart hotel?

Hotels 59

Hotels IoT Infrastructure Technical Review 59

Altexsoft

SEPTEMBER 27, 2020

Internal Workflow Automation with RPA and Machine Learning. Depending on the work the machine learning algorithms are going to do and regulations, it may require an explanation layer over the core ML system. RPA uses transparent human-designed rules to do repetitive operations. But AI remains a heavy investment.

Insurance 130

Insurance Machine Learning Artificial Inteligence Blockchain 130

Tenable

FEBRUARY 22, 2024

For example, our integration with ServiceNow streamlines asset management processes, enhancing overall operational efficiency. IDC Recommendation: Utilize machine learning for identifying unusual configurations. IDC Recommendation: Move beyond CVEs to holistic exposure management.

Marketing 121

Marketing Machine Learning Artificial Inteligence IoT 121

Kaseya

APRIL 19, 2024

They utilized the seamless integration offered by Kaseya’s IT Complete Platform to develop complex workflows and enhance operational efficiency. Challenges and considerations Integrating IT management tools can significantly boost operational efficiency, but it comes with its set of challenges.

Systems Review 52

Systems Review Scalability IoT Machine Learning 52

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Improved recommendations for online transactions.

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Artificial Inteligence Strategy Data Machine Learning 276

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

CIO

FEBRUARY 27, 2023

However, despite data centres and transmission networks being responsible for nearly 1 per cent of energy-related greenhouse gas emissions, a new Deloitte study reports little over half (54 per cent) of businesses have converted to energy-efficient technologies.

Sustainability 224

Sustainability Innovation Artificial Inteligence Energy 224

Cloudera

SEPTEMBER 22, 2022

Insurance carriers are always looking to improve operational efficiency. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step two: expand machine learning and AI.

Analytics 102

Analytics Data Insurance eBook 102

Xicom

DECEMBER 26, 2018

An IoT development company is much in demand these days because Internet of Things (IoT) is slowly sprawling into the industrial sphere with each passing day. Any IoT developer that is able to create IoT apps for industries and large-scale businesses will be in much demand and will have the chance to become popular in the IT industry.

IoT 40

IoT Industry Development Artificial Inteligence 40

Trigent

JUNE 28, 2022

Robotic process automation, AI, and machine learning are helping healthcare organizations manage vast amounts of data and optimize routine tasks. AI advancements like machine learning (ML) and optical character recognition (OCR) enable efficient data processing and accurate information retrieval. Billion by 2032.

Healthcare 91

Healthcare Artificial Inteligence IoT Strategy 91

InfoBest

JANUARY 25, 2024

It’s not merely about adopting cloud services; it’s about a strategic realignment of operations to leverage the full potential of cloud technology. Flexibility, scalability, and cost-efficiency are at the forefront. Unveiling the Advantages Why the emphasis on cloud solutions? The advantages are multifaceted.

Software Development 52

Software Development Trends Software Development 52

Trigent

MAY 16, 2021

New-age technologies like Artificial Intelligence (AI), Machine Learning (ML), Internet of things (IoT), and predictive analytics are automating processes and augmenting human capabilities. In an IoT-driven world where sensors, devices, systems, etc. Together, they set the stage for innovations in different sectors.

Artificial Inteligence 85

Artificial Inteligence IoT Artificial Intelligence Systems Review 85

Palo Alto Networks

NOVEMBER 8, 2023

A unified security platform should offer complete visibility and greater operational efficiencies to users. Today, we introduce Strata Cloud Manager – the industry’s first AI-powered Zero Trust management and operations solution. Introducing PAN-OS 11.1

Cloud 84

Cloud Firewall Malware IoT 84

OTS Solutions

MAY 2, 2023

Digital transformation is the integration of technology into all aspects of a business, resulting in fundamental changes to its operations, customer experience, and value proposition. Digital transformation enables business models and revenue streams to enhance operational efficiency and agility and improves customer engagement and loyalty.

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Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As Hyperconnected networks , says PwC, are pushing closer and closer to ubiquitous connectivity.

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Artificial Inteligence Artificial Intelligence IoT Data Center 69

Cloudera

MAY 4, 2022

AI also enables 24-hour operations with minimum downtime. . Among the benefits of AI-first strategies are: Operational efficiency. Efficiency is a continual goal for any organization. The more efficient you can be, the less time and money you spend on a task. Faster decisions .

Artificial Inteligence 130

Artificial Inteligence Off-The-Shelf Systems Review Artificial Intelligence 130

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. AI and machine learning are becoming widely adopted in home appliances, automobiles, plant automation, and smart cities. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Existek

MAY 27, 2024

Artificial intelligence can also predict maintenance needs for warehouse equipment, preventing unexpected downtime and maintaining operational efficiency. By automating routine tasks, AI allows businesses to engage more in strategic activities, enhancing overall operational efficiency.

Artificial Inteligence 52

Artificial Inteligence Industry Artificial Intelligence Technical Review 52

TechCrunch

JULY 21, 2022

The ability to collect, analyze and act upon data at the distributed edge makes it possible for businesses to increase their competitive advantage, reduce costs, improve operational efficiency, open up new revenue streams and operate within safer and more secure environments,” Ouissal said.

Software 207

Software Linux Data Center Hardware 207

OTS Solutions

DECEMBER 4, 2023

Together, they simplify complex workflows and increase operational efficiency. Private cloud architecture provides greater control and flexibility over data storage and management, enabling financial organizations to efficiently comply with strict regulatory requirements. How does Private Cloud Architecture work?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

Altexsoft

SEPTEMBER 19, 2023

Demand forecasting with machine learning allows companies to spot the slightest shifts in consumer behavior and predict a probable future demand for a product or service. Read our dedicated article to learn more about demand forecasting methods. That’s where modern analytical methods can help you out.

Travel 52

Travel Analytics Examples Airlines 52

Openxcell

JULY 18, 2023

The practical implementation of this technology offers numerous benefits, ranging from improved operational efficiency to enhanced workflows to enhanced user convenience and accessibility. Moreover, it assists a wide range of Machine Learning algorithms and provides a network for complex predictive analytics.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Open Source 52

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways. Michael Ger:

Retail 84

Retail Weak Development Team Machine Learning Artificial Inteligence 84

Cloudera

DECEMBER 20, 2022

McKinsey estimates that the use of data-driven technologies can drive operating and maintenance cost savings of more than 12%. For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Energy 81

Energy Analytics Data Machine Learning 81

Trigent

JULY 9, 2021

With logistics automation, IoT-enabled connected devices, and tech-driven logistics services coming into play, it’s safe to assume we are in for some significant changes in the industry. Artificial Intelligence (AI) and Machine Learning (ML). Internet of Things (IoT).

Trends 52

Trends Industry IoT Blockchain 52

Palo Alto Networks

MAY 14, 2021

We also had submissions around how you can pick up soundwaves from a lightbulb, how Bluetooth low energy (BLE) beacons can be misused, and there were also Internet of Things (IoT) and smart energy grid submissions.

Conference 71

Conference Artificial Inteligence Machine Learning Artificial Intelligence 71

Trigent

SEPTEMBER 29, 2023

Managed infrastructure services providers can empower these companies with advanced technologies like Machine Learning (ML), Artificial Intelligence (AI), Blockchain, Augmented Reality (AR), and Virtual Reality (VR), moving them toward a digital infrastructure that, in turn, speeds up innovative developments.

Infrastructure 52

Infrastructure Technical Review Artificial Inteligence VR 52

Trigent

NOVEMBER 3, 2022

The future of the global supply chain market lies in IoT, integrated solutions, data, and mobility. The ultimate goal of any organization dealing with a pool of connected devices and sensors is to leverage this data by learning the trends and patterns. Optimize logistics operations with Trigent. Enhance transparency.

Analytics 52

Analytics Data IoT Trends 52

Openxcell

DECEMBER 12, 2023

To achieve this goal, software development companies implement digital tools like cloud computing services, Machine Learning, AI, Analytics Software, Mobile Applications, and many more. There are many potential ways of applying these technologies to retail operations.

Retail 52

Retail Trends VR Artificial Inteligence 52

Palo Alto Networks

MARCH 1, 2023

As enterprises rethink connectivity, they are investing in 5G networks with a focus on accelerating IoT adoption, improving productivity and increasing operational efficiencies, like transforming the planet’s supply chains. providing secure connections to deliver better security outcomes for your hybrid workforce.

Strategy 48

Strategy IoT Network Cloud 48

Capgemini

APRIL 21, 2020

AI, RPA, machine learning, chatbots, analytics, IoT software and hardware, virtual reality, SaaS and PaaS, blockchain, new cybersecurity methods and tactics, enterprise social software, the list goes on and on. Let’s consider just one example: the adoption of AI capabilities.

Technical Review 52

Technical Review Innovation Software Review Development Team Review 52

Trigent

MARCH 10, 2023

Hyperautomation leverages next-generation technologies , including Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), and advanced analytics (AA), to deliver end-to-end automation that goes beyond RPA. Furthermore, advanced analytics can help to accelerate logistics competencies.

Artificial Inteligence 52

Artificial Inteligence Transportation Analytics Sustainability 52

Sunflower Lab

APRIL 2, 2024

Predictive analytics can help CEOs in various ways, such as: Anticipating Market Trends: The study of historical data and market tendencies allows a CEO to make operations that would react to the changes in the market and change them further along.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40