CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Artificial Inteligence 276

Artificial Inteligence Strategy Data Machine Learning 276

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

CTOvision

DECEMBER 21, 2013

By Bob Gourley If you are an analyst or executive or architect engaged in the analysis of big data, this is a “must attend” event. Registration is now open for the third annual Federal Big Data Apache Hadoop Forum! 6, as leaders from government and industry convene to share Big Data best practices.

Big Data 113

Big Data CTO Data Government 113

Cloudera

FEBRUARY 7, 2019

Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale. This has increased operational efficiencies significantly because now teams are able to leverage data much more quickly than before.

Big Data 67

Big Data Analytics Google Cloud Cloud 67

Hacker Earth Developers Blog

JANUARY 22, 2021

Approach: Said port hires a data scientist to look at the numerous variables affecting ship movement and operational efficiency. The skills on which these two roles are judged are also different as elaborated below: Traditional IDEs, therefore, don’t cut it for data scientists. A traditional IDE is not enough here.

Artificial Inteligence 130

Artificial Inteligence Data Technical Review Machine Learning 130

Hacker Earth Developers Blog

MARCH 5, 2019

The Industrial IoT (IIoT), also known as the industrial internet or industrie 4.0 , employs big data technologies and machine learning to exploit machine-to-machine (M2M) communication, sensor data, and automation technologies that are already in place. Industrial IoT.

IoT 283

IoT Internet Applications Innovation 283

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Kaseya

NOVEMBER 9, 2023

It enables organizations to operate efficiently without needing any extensive internal infrastructure. It allows organizations to efficiently manage and process vast amounts of data without the constraints of on-premises infrastructure. To learn more about Kaseya VSA, Request your demo today ! What is the cloud?

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Mobilunity

MAY 3, 2024

Fintechs are leading in the adoption of advanced technologies, with more than 60% employing AI to personalize customer experiences and improve operational efficiencies. Data Management Tools: Expertise in big data technologies like Hadoop, Spark, and Kafka is crucial. Designing the Technical Interview 1.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

CTOvision

DECEMBER 14, 2016

His post, titled titled " Enhanced Streaming and Machine Learning with Apache Spark 2.0 ", was helpful in highlighting the rise of Apache Spark to the point where it is now the de-factor processing engine in the Apache Hadoop ecosystem. Perhaps the greatest are the many solutions around Machine Learning and Artificial Intelligence.

Artificial Inteligence 67

Artificial Inteligence Artificial Intelligence Machine Learning Internet 67

Mobilunity

APRIL 23, 2024

Fintech has revolutionized banking, improving operational efficiency and client satisfaction. Android, the world’s most popular mobile operating system, makes banking apps accessible to many consumers. Strong computer languages and platforms like Java and Android drive this transformation.

Fintech 52

Fintech Banking Weak Development Team Technical Review 52

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Choose a hybrid data-first strategy to deliver value faster.

Data 112

Data Architecture Analytics Government 112

Trigent

AUGUST 22, 2021

The use of technology in property management have given property managers the much-needed traction to grow their business while improving operational efficiencies and streamlining processes. A more connected, data-driven world with AR, VR, AI, Machine Learning, and Big Data.

Technical Review 52

Technical Review Trends Real Estate Technology 52

Cloudera

SEPTEMBER 25, 2018

At Strata Data , it appeared that artificial intelligence, machine learning, and the promise of game-changing insights from big data were at the forefront of everyone’s mind. With that, we would like to take this opportunity to once again, congratulate the winners of Cloudera Partner Awards: Best Solutions Awards.

Artificial Inteligence 44

Artificial Inteligence Machine Learning Artificial Intelligence Data 44

Trigent

JUNE 28, 2022

Robotic process automation, AI, and machine learning are helping healthcare organizations manage vast amounts of data and optimize routine tasks. In tandem with big data, RPA is helping them distribute resources efficiently to address the gaps in workforce supply. billion by the end of 2028.

Healthcare 91

Healthcare Artificial Inteligence IoT Strategy 91

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

Infinidat

MARCH 10, 2021

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Cloudera

SEPTEMBER 1, 2021

To better identify fraud patterns, the company’s analysts needed a way to capture and analyze a greater volume of data. They turned to Cloudera Data Platform to improve not only fraud detection but also customer relationship management, network quality, and operational efficiency through machine learning and AI. .

Company 101

Company Data Analytics Enterprise 101

Apiumhub

MARCH 16, 2021

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current, and predictive views of business operations. It has become a necessary tool in the era of big data. Data mining. MicroStrategy.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Exadel

APRIL 27, 2023

The amount of data which banks needed to process was huge and hard to track manually. RegTech filled that gap and provided machine learning and predictive analytics tools to prevent fraudulent activity. AI solutions operate with big amounts of data, make predictions and identify patterns.

Banking 52

Banking Report Compliance Fintech 52

Perficient

MARCH 3, 2023

Finally, you can further optimize the content experience with Adobe and AWS Solutions and service such as: Adobe Sensei, an industry-leading AI, machine learning solution to cut the time spent on tedious tasks like tagging, cropping, and adapting assets for each channel and device. For more information on this please read this article.

AWS 64

AWS Technical Review Load Balancer Cloud 64

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.

Retail 84

Retail Weak Development Team Machine Learning Artificial Inteligence 84

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 Every day, huge amounts of data are generated, streamed, and moved in cloud environments.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Xicom

JULY 21, 2020

Thus, it’s difficult to overstate the way big data has transformed many industries. Once, consultant Geoferry Moore put it – “Without Big Data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway” And, one such big benefit is predictive behaviour.

Healthcare 52

Healthcare Analytics Technical Advisors Analysis 52

Dell EMC

SEPTEMBER 10, 2019

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are more than just flare for an expo booth. Companies are transforming their business practices, driving productivity, and creating new opportunities with the power of data and AI. So, what are AI, ML, and DL, and how are they related?

Artificial Inteligence 37

Artificial Inteligence Artificial Intelligence Machine Learning Resources 37

Trigent

NOVEMBER 3, 2022

In comparison, 71% of 3PLs think process quality and performance can be significantly improved with the help of big data. AI and machine learning are already playing a significant role in shaping new initiatives for the logistics industry. Optimize logistics operations with Trigent.

Analytics 52

Analytics Data IoT Trends 52

Progress

JULY 19, 2019

With the right health IT solutions, hospitals can tackle regulated problems—specifically operational efficiency, with scalability, flexibility and innovation. will enable healthcare executives and care providers to work in concert to improve operational efficiencies and drive better clinical outcomes. Hospital 4.0

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Healthcare Infrastructure 40

Trigent

OCTOBER 28, 2021

Big data and artificial intelligence will create the most dramatic change, redefining how the industry can connect with all stakeholders and drive growth. Music streaming companies like Spotify and Apple Music rely on machine learning algorithms to segment users and songs to offer personalized recommendations and playlists.

Media 105

Media Artificial Inteligence Sport Artificial Intelligence 105

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

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Operational efficiency across activities such as platform management / database administration, security and governance, and agile development (e.g., Operational Efficiency.

Storage 95

Storage Azure Technical Review Database Administration 95

Praxent

APRIL 29, 2021

Many seek assistance in areas to improve their mobile banking and payment channels, personal digital assistants, saving and investment tools, fraud mitigation, payment processing, artificial intelligence (AI) and machine learning including chatbots. The largest portion of U.S.

Fintech 52

Fintech Innovation Artificial Inteligence Banking 52

Cloudera

NOVEMBER 19, 2018

Data is collected from in-ground sensors, handheld measurement devices, satellites, GIS, weather sources, and databases related to plants, biomasses, species’ behaviors, and business. About the Author: Lakshmi Randall is Director of Product Marketing at Cloudera, a machine learning and analytics company.

Sustainability 40

Sustainability IoT Compliance Machine Learning 40

Altexsoft

SEPTEMBER 6, 2018

Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Due to a surfeit of information about AI and big data on the Internet, companies can assume that data analysis is the solution for most of their data-related issues. Business analytics can be used for: Data management.

Company 63

Company Off-The-Shelf Data Software Review 63

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Apiumhub

JANUARY 30, 2019

Big Data analytics. With millions of customers buying products online, there is an infinite amount of data that generates every day. Every action made by the user turns into data and that data can be useful for the ecommerce site to know their target audience. Machine Learning for Automation.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

Altexsoft

NOVEMBER 2, 2018

As the world’s logistical requirements continue to become even more complex, big-data driven applications have already stepped in to streamline logistics on a global scale. Banks, accounting firms, and insurance companies already utilize this type of technology to streamline the processing of client data.

Industry 87

Industry Artificial Inteligence Blockchain Technical Review 87