Openxcell

MAY 16, 2023

The objective is to lower costs and risks while improving efficiency, agility, and responsiveness. Enhanced agility Digital supply chains help easily adjust demand, supply, and market circumstances. IoT has been proven to be an asset for companies. Latest Technological Trends in Digital Transformation of Supply Chains 1.

Artificial Inteligence 52

Artificial Inteligence IoT Blockchain Analytics 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. Machine Learning in Practice , January 15.

Artificial Inteligence 105

Artificial Inteligence Course Training Blockchain 105

Openxcell

MARCH 15, 2023

Among the newest AI software innovations are advancing Machine Learning, Conversational AI, and Computer Vision AI, which enable converged business and IT process optimizations, predictions & recommendations, and transformative employee and customer experiences. Businesses are increasingly using AI across all functional areas.

Software Development 52

Software Development Software Review Trends Software 52

Perficient

MARCH 28, 2023

Instead, a supply chain control tower is a cloud-based solution that leverages advanced technologies – such as artificial intelligence (AI), blockchain, or similar distributed ledger technologies, and perhaps even the Internet of Things (IoT) – to proactively manage supply chains. Why is a Control Tower Needed?

Artificial Inteligence 64

Artificial Inteligence Artificial Intelligence Project Management Film 64

Trigent

SEPTEMBER 29, 2023

They need an ever-ready infrastructure that can power business-critical applications while offering the agility and flexibility to stabilize, optimize, and manage their business effectively. IoT helps in warehouse and inventory management and ensures reduced waste, work safety, and optimal storage conditions.

Infrastructure 52

Infrastructure Technical Review Artificial Inteligence VR 52

CIO

AUGUST 9, 2023

They must then develop and deliver the supporting digital capabilities in an agile fashion with incremental releases and feature adjustments based on user feedback. “A Now, in 2023, companies are using analytics and intelligence capabilities as well as IoT and edge computing.

Technical Review 344

Technical Review Software Review Artificial Inteligence Survey 344

O'Reilly Media - Ideas

JANUARY 2, 2019

Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Learn new topics and refine your skills with more than 250 new live online training courses we opened up for January, February, and March on our online learning platform. AI and machine learning. Blockchain.

Course 60

Course Artificial Inteligence Training Blockchain 60

O'Reilly Media - Ideas

APRIL 3, 2019

Get hands-on training in TensorFlow, cloud computing, blockchain, Python, Java, and many other topics. Learn new topics and refine your skills with more than 150 new live online training courses we opened up for April and May on the O'Reilly online learning platform. AI and machine learning. Blockchain.

Course 48

Course Artificial Inteligence Training Google Cloud 48

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 46

Course Training Artificial Inteligence Machine Learning 46

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

Datavail

FEBRUARY 12, 2020

This greater focus on the cloud has reaped benefits in terms of cost savings, agility, and convenience—but it may turn out to be a double-edged sword. In addition, DBAs can take a leading role as organizations explore tech trends such as data mining and machine learning, the Internet of Things (IoT), blockchain, and social media.

Database Administration 59

Database Administration Cloud Strategic Planning Blockchain 59

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

Actian

DECEMBER 19, 2018

While the benefits of digital-transformation initiatives are clear and easily quantifiable, digital business processes create a unique challenge for IT organizations tasked with ensuring the resiliency and agility of the technology services on which the business users depend. The need for a hybrid integration platform.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Hardware 40

Zensar

JUNE 28, 2019

Gaining agility and experience through digital tools. Connected Intelligence includes all emerging technologies such as Blockchain, IoT, Drones, Mobility, Apps, Cloud, Augmented Reality , Virtual Reality, and Analytics. Gain Machine learning insights to segment customers. Application of Connected Intelligence.

Industry 45

Industry Artificial Inteligence Insurance IoT 45

Capgemini

OCTOBER 15, 2019

This includes the new generation of technical offerings around Internet of things (IoT) and machine learning. And all of these capabilities enable greater speed, agility, and scalability to take full advantage of ever-evolving technical advances, including the latest in processor technology from Intel.

AWS 53

AWS Scalability Blockchain IoT 53

RapidValue

AUGUST 11, 2019

It is born out of a need for the organizations to be increasingly agile. DPA goes beyond the internal processes by empowering organizations to become even more customer-centric in their approach, while remaining agile and innovative in their product development and responsive to market trends and demands. Manufacturing. Conclusion.

Artificial Inteligence 32

Artificial Inteligence IoT Retail Agile 32

Zayo

JANUARY 30, 2019

With the proliferation of new technology, including AI, IoT, 5G and blockchain, enterprises have more data and workloads to manage than ever before. These three major players offer enterprises agility, flexibility and lower capital expense. Trend #3: Enterprises will continue to turn to AWS, Azure and GCP.

Trends 40

Trends Cloud Wireless Azure 40

Apiumhub

AUGUST 20, 2018

This means coordination between departments and teams through the implementation of agile methodologies. As Apiumhub explains, agile means: “flexibility, adaptability, continuous improvement and rapid feedback.” And remember, data should be cleaned before employing machine learning practices. . The era of unicorns.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

Coforge

AUGUST 31, 2020

The drastic shift from traditional and orthodox system frameworks and operations can be unarguably attributed to the influx of intelligent technologies such as Artificial Intelligence, Machine Learning, Big Data, Blockchain/DLT led smart contracts, and widespread usage of cloud systems. .

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Agile Engine

OCTOBER 24, 2019

Our portfolio includes projects in bleeding-edge industries like aerospace, blockchain, IoT, AR, VR, and machine learning. In 2016 when React Native was still uncharted territory, we were already building a React Native app for an 80-million audience.

Journal 14

Journal VR Blockchain IoT 14

Coforge

AUGUST 9, 2019

Travel companies will need to embrace Digital Commerce, Artificial Intelligence/ Machine Learning, Predictive Analytics, IoT, and Intelligent Automation for a smooth transition. They should be ready to scale up quickly by adapting Cloud technologies and proven agile and automation practices. CAGR during 2018-2024.

Transportation 8

Transportation Travel Airlines Technology 8

Apiumhub

SEPTEMBER 20, 2023

From software architecture to artificial intelligence and machine learning, ​​these conferences offer unparalleled insights, networking opportunities, and a glimpse into the future of technology. Learn more about the speakers and check out their schedule by visiting their site here. Interested in attending?

Conference 97

Conference Artificial Inteligence UI/UX Machine Learning 97

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Continuing the journey toward true business agility initiated in the software realm. And, of course, Blockchain. Denis Gagne Trisotech [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

OCTOBER 26, 2022

To enable this conversion, a CDO uses digital information and modern technologies such as the cloud, the Internet of Things , mobile apps, social media, machine learning-based products, and digital marketing. Cultural changes will also include the introduction of new forms of work and the development of agile skills among employees.

CTO 52

CTO Organization Technical Review Culture 52

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Example: Severstal.

IoT 20

IoT Internet Weak Development Team Scalability 20

OTS Solutions

OCTOBER 10, 2023

It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process. include the Internet of Things (IoT) solutions , Big Data Analytics, Artificial Intelligence (AI), and Cyber-Physical Systems (CPS).

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

TIBCO - Connected Intelligence

DECEMBER 20, 2021

Enhancements in the Unify portfolio address organizations’ data management challenges head-on, empowering the business to assemble an agile data fabric, unrestricted by siloed data, on any cloud platform. The Unify Portfolio Highlights Breakthroughs in Data Integration and Lays the Foundation for the Future of Data Fabric.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Agile Engine

DECEMBER 27, 2023

Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8 Case study: leveraging AgileEngine as a data solutions vendor 11. Conclusion 1.

Big Data 52

Big Data Analytics Data Analysis 52