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

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

OTS Solutions

JULY 18, 2023

By leveraging modern technologies and methodologies, they can streamline their operations, reduce costs, and improve agility. In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

By leveraging modern technologies and methodologies, they can streamline their operations, reduce costs, and improve agility. In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

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. It enables businesses to store, access, and process data remotely via the Internet. If needed, MLOps and ModelOps can automate the entire workflow of the ML model.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address. But first, solid foundations must be laid.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Agile development is best for speed and flexibility, but is it compatible with software outsourcing?

Software Review 94

Software Review Technical Review Software Development Team Review 94

Kaseya

NOVEMBER 9, 2023

The cloud or cloud computing is a global network of distributed servers hosting software and infrastructure accessed over the internet. Software-as-a-Service (SaaS) SaaS delivers fully developed applications over the internet, eliminating the need for users to install, maintain or manage the software locally. What is the cloud?

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Cloudera

JANUARY 26, 2022

But how did the hybrid cloud come to dominate the data sector? . Just like the Internet, the cloud computing concept was born when the U.S. This archaic version of our internet was the first time (mainframe) computers interacted with each other. Big Data” became a topic of conversations and the term “Cloud” was coined. .

Cloud 85

Cloud Data Architecture Virtualization 85

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.

Artificial Inteligence 104

Artificial Inteligence Course Training Blockchain 104

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. With these variables and risks at play, the need for a more coordinated and agile supply chain is key. Supply Chain 4.0 .

Data 105

Data Agile Analytics Transportation 105

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Data 121

Data Analytics Banking Big Data 121

Gorilla Logic

OCTOBER 14, 2022

Mobile has become the primary way people access the internet, with mobile devices accounting for nearly 60% of global website traffic. Custom mobile apps can enable e-commerce and remote work options so people are able to conveniently transact from anywhere they have cellular service or Internet access. Custom mobile applications.

Software Development 52

Software Development Weak Development Team Software UI/UX 52

CTOvision

JUNE 15, 2015

IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

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.

Course 59

Course Artificial Inteligence Training Blockchain 59

Samanage

APRIL 18, 2019

These days, it seems like you can’t spend more than a few moments surfing the Internet without running across an article, blog post, or webinar devoted to how artificial intelligence (AI) is going to radically change the face of how we currently do business. AI as a Service. Build a robust service catalog to automate multi-step processes.

Artificial Inteligence 81

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 81

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Productionizing machine learning.

Analytics 102

Analytics Technical Review Technology Applications 102

Openxcell

MARCH 22, 2023

The healthcare industry gains a lot from integrating cutting-edge technology like AI, Big Data, and IoT. These technologies offer agility to boost healthcare organizations’ operational effectiveness and enhance patients’ overall experiences. Technology such as Big Data, IoT, Web 3.0,

Healthcare 52

Healthcare Trends Technical Review VR 52

O'Reilly Media - Ideas

APRIL 3, 2019

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. Deep Learning from Scratch , April 19. Beginning Machine Learning with Pytorch , May 1. Blockchain.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Cloudera

MARCH 28, 2019

The threat posed by new market entrants, unconstrained by the legacy IT systems of big banks, is as obvious as their appeal to a generation of digital natives. Even as incumbent banks check for threats within their loan books, they cannot ignore the existential threat from more agile new entrants.

Artificial Inteligence 73

Artificial Inteligence Banking Artificial Intelligence Machine Learning 73

Altexsoft

AUGUST 29, 2023

It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

DECEMBER 18, 2017

The late 1980’s saw the commercialization of the Internet. In the next decade (the late 90s), the Internet was used to combine and consolidate business processes, ultimately driving more transparency and efficiency via emerging cloud-based platforms like Salesforce.com. How do I look across all my silos of data?

Data 40

Data Business Transformation Machine Learning Artificial Inteligence 40

Altexsoft

FEBRUARY 3, 2020

The reason is simple – people and organizations produce massive amounts of information daily, but only the most agile companies make use of it to analyze consumer behavior and improve business outcomes. A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

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. Denis Gagne Trisotech [link]. Max Pucher Isis Papyrus [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Openxcell

JANUARY 20, 2021

Supports Big Data. Plus, it’s easier and faster to code with Python for Big data projects than other languages. Read more: Why should you choose Python for Big Data? Developers can also run the scripts on multiple machines to build a decentralized network – all with Python’s help.

Software Review 52

Software Review Technical Review Development Systems Review 52

Apiumhub

JULY 16, 2019

Developers move to Barcelona because they prefer to work in a startup environment, with international teams that use English as a common language and work with methodologies like Agile and Scrum. . The Internet of Things or Big Data will create the platforms for the rise of artificial intelligence.

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Weak Development Team Software Development 40

Accenture

DECEMBER 5, 2018

As in Part 1, I’ll review how the big social media companies like Twitter, Instagram, and LinkedIn view the past, what they might see coming in the future, and highlight what lessons Agilists might glean from them. Logistically, this event was much different than the Agile conferences I’ve been to. Instagram .

Artificial Inteligence 58

Artificial Inteligence Video Social Weak Development Team 58

CTOvision

DECEMBER 30, 2015

And the agility of this model is helping innovators innovate and developers develop. AI and related disciplines like Machine Learning are enabling computers to assist humans in performance of their jobs now, and with AI being coupled with incredibly low cost cloud computing we see rapid development of capabilities continuing.

Technical Review 62

Technical Review Trends Report Enterprise 62

RapidValue

APRIL 20, 2020

Cloud load balancing also involves hosting the distribution of workload traffic within the internet. As artificial intelligence (AI) and Machine Learning software advance, they can become increasingly valuable in assisting companies manage incoming loads. Its advantages over conventional load balancing of on?

Load Balancer 80

Load Balancer Resources Cloud Performance 80

Cloudera

FEBRUARY 12, 2019

Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent. As technology adoption increases, more service providers require 5G to support the surge of incoming data. But a high data rate and reduced latency is exactly what 5G was built for.

Artificial Inteligence 40

Artificial Inteligence IoT Mobile Artificial Intelligence 40

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

Gorilla Logic

JUNE 5, 2018

When we got to the point of defining the title of the course, someone mentioned to me that “IoT” ( Internet of Things ) was the new fancy name for “Embedded Software”. The “Internet of Things”. The Internet of Things explosion has started to demand a great deal of attention and has reached almost every area of the software industry.

IoT 47

IoT Software Serverless AWS 47

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. Agile development and loose coupling: different sources and sinks should be their own decoupled domains.

IoT 20

IoT Internet Weak Development Team Scalability 20

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

LeanEssays

JANUARY 21, 2016

On the 15th anniversary of the Agile Manifesto , let's look at what else was happening while we were focused on spreading the Manifesto ’ s ideals. Big Data 3. The idea that infrastructure is context and the rest is core helps explain why internet companies do not have IT departments. The Cloud 2. Antifragile Systems 4.

Software Review 55

Software Review Innovation Software Technical Advisors 55

Openxcell

DECEMBER 27, 2021

From the development of business applications to backend development, Python has widened its reign even to AI development, automation, scientific computing, and big data. From web development to mobile development, and machine learning to game development, you can get almost all the libraries you require. Python 3.10

Technical Review 52

Technical Review Technology Software Review Open Source 52