OTS Solutions

DECEMBER 22, 2023

With the implementation of these technologies, you can achieve a more agile, customer-centric streamlined, and efficient business. Make better decisions: Companies can benefit from big data by putting analytics and data at the core of their digital transformation if the business does not.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

The Crazy Programmer

MAY 12, 2021

While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. A data lake is a repository that holds raw data, of which the purpose is not yet defined or requires a very high level of flexibility and agility. What is Data Lake?

Data 162

Data Healthcare IoT Pharmaceuticals 162

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud? Enable business analytics and decision-making.

IoT 45

IoT Cloud Data Analytics 45

iTexico

NOVEMBER 10, 2020

The Benefits Of IoT Post COVID-19: How Businesses Can Resume and Restart? But the internet of things (IoT) has not gone unscathed, albeit in a positive light. Since most companies rely on IoT applications, they had to address the changes in society. 6 minute read. New Perspectives. Pay-per-use products.

IoT 52

IoT Airlines Transportation Malware 52

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

CTOvision

FEBRUARY 17, 2015

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Enterprise Cloud Analytics with Amazon Redshift. “We Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109

Apiumhub

MARCH 12, 2024

This paradigm shift significantly reduces latency, making real-time processing feasible for applications such as the Internet of Things (IoT), autonomous vehicles, and augmented reality. AI-Driven Security Analytics Artificial Intelligence (AI) is playing a pivotal role in enhancing cloud security.

Trends 52

Trends Innovation Cloud Serverless 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

Actian

FEBRUARY 17, 2020

Digital Transformation is the First Step Towards Business Agility. The end goal is business agility – the ability to respond quickly to opportunities and threats in the marketplace – minimizing risk and maximizing value. Integrating your enterprise data in real-time for analytics. Real-time, data-driven decision making.

Analytics 40

Analytics Data Agile IoT 40

CIO

OCTOBER 13, 2022

Across industries, companies are modernizing IT infrastructure and wielding digital tools to increase organizational flexibility, agility, and resiliency in their efforts to stay abreast of the competition.

Sustainability 147

Sustainability Artificial Inteligence AWS Data Center 147

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

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

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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

Cloudera

AUGUST 12, 2021

Streamlining operations with advanced analytics to preempt issues. By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. .

Data 108

Data Insurance Agile Exercises 108

Cloudera

MAY 4, 2022

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. Faster decisions .

Artificial Inteligence 131

Artificial Inteligence Off-The-Shelf Systems Review Artificial Intelligence 131

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

Altexsoft

JANUARY 14, 2022

IoT devices are embedded in every part of the supply chain, whether in machines on a manufacturer’s production line to data loggers that power supply chain quality assurance processes. Which segments of data are relevant for analytics, and when can those data sets be ignored? There’s hardly any time left for analysis.

Technical Review 111

Technical Review Storage Analytics Systems Review 111

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. Internet of Things (IoT): The Internet of Things has become important in digital transformation.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Cloudera

DECEMBER 6, 2021

One such tool was advanced machine learning-assisted natural language processing (NLP) “to extract tacit knowledge and perform sentiment analysis on unstructured text and images from more than 20 million documents.” To address these challenges, ExxonMobil leveraged Cloudera’s on-prem tools in addition to cloud services.

Architecture 83

Architecture Cloud Data Chemicals 83

Hu's Place - HitachiVantara

APRIL 11, 2019

This gives us the opportunity to not only connect with other vendor’s management stacks like ServiceNow , but also apply analytics and machine learning and automate deployment of resources through REST APIs. HCP: Object storage for unstructured data through our Hitachi Content Platform and Hitachi Content Intelligence software.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Cloudera

DECEMBER 17, 2020

The four basic pillars of retail founded upon data are based upon personalized interactions, customer-centric merchandising, supply chain agility, and reimagining stores. The business leveraged IoT data that captured in-store location data from shoppers that have the mobile app on their smartphones.

Retail 58

Retail Apparel Analytics Enterprise 58

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics. Analytics in planning and demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Openxcell

MARCH 15, 2023

Analytics Insight, Gartner 40% of software developers use React.js These initiatives range from developing proactive customer services solutions like chatbots or predictive analytics for better decision-making to the most recent revolution— the ChatGPT. billion cellular IoT connections. billion IoT devices installed by 2025.

Software Development 52

Software Development Software Review Trends Software 52

Trigent

MARCH 24, 2021

Integrating AI into IT operations or AIOps has empowered IT teams to perform complex tasks with ease and resolve agility issues in complex settings. AIOps are multi-layered technology platforms that collate data from multiple tools and devices within the IT environment to spot and resolve real-time issues while providing historical analytics.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Apiumhub

AUGUST 20, 2018

The key to efficient, integrous data analysis is a team-based intelligent analytical approach. 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.” BeyondCore.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

Capgemini

MARCH 10, 2023

For instance, Internet of Things (IoT) devices can provide analytics for predictive maintenance in factories to lower costs and reduce disruption. Consumer product organizations can become far more agile in anticipating short-term demand spikes in real-time through data, analytics, and AI.

Sustainability 52

Sustainability Meeting Industry Network 52

Actian

JUNE 10, 2019

As this migration is occurring, many companies are examining their integration strategies and capabilities to evaluate how to bring more SaaS data sources and streaming data from IoT systems into the data warehouse for analysis. Earlier (and small-scale) data lakes seemed like the perfect solution for organizations seeking agility.

Trends 40

Trends Data IoT Big Data 40

CTOvision

FEBRUARY 10, 2015

Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value. TSE: 6501), today announced its intent to acquire Pentaho Corporation, a leading big data integration and business analytics company with an open source-based platform for diverse big data deployments.

System 114

System Data Big Data Business Analytics 114

Actian

SEPTEMBER 17, 2019

Why a modern time-series capable database can simplify yet enhance time-series data analysis. The result is that these systems are not easily extended either for localized analytics and visualization, sharing data across local systems, or easily and securely exchanging data with modern backend systems for further analytics and visualization.

Artificial Inteligence 40

Artificial Inteligence Data Artificial Intelligence IoT 40

Trigent

MARCH 24, 2021

Integrating AI into IT operations or AIOps has empowered IT teams to perform complex tasks with ease and resolve agility issues in complex settings. AIOps are multi-layered technology platforms that collate data from multiple tools and devices within the IT environment to spot and resolve real-time issues while providing historical analytics.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. As a provider of data center analytics and automation management tools, Hitachi Vantara realizes that a data center is made up of many different vendor products that interact with each other.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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. Automate the demand analysis and subsequent generation of new and smart product offerings.

Industry 45

Industry Artificial Inteligence Insurance IoT 45

Trigent

APRIL 14, 2022

With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale. Real-time monitoring and analytics are logged for a supervisor to check and intervene if necessary. AIOps will be very much a requirement for the DevOps teams.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Strategy Driven

OCTOBER 31, 2023

The integration of AI with the Internet of Things (IoT) devices in vehicles facilitates continuous monitoring. Real-Time Data Analytics for Improved Decision-Making The power of real-time data analytics cannot be overstated in the context of fleet management. Real-time analytics also play a role in customer satisfaction.

Transportation 39

Transportation Artificial Intelligence Artificial Inteligence Technical Review 39

Apps Associates

AUGUST 26, 2021

Boston Dynamics turned to Apps Associates – a Snowflake Select partner with over 20 years of business experience – to help design, build and implement a Snowflake-based Internet of Things (IoT) analytics solution. The Snapshot ID along with the IoT device Serial Number makes the data unique across multiple devices.

Google Cloud 52

Google Cloud IoT Analytics Cloud 52