Cloudera

OCTOBER 4, 2023

We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior. We can reduce costs, eliminate unnecessary work, improve customer satisfaction and experience, and reduce churn.

Analytics 87

Analytics Machine Learning Artificial Inteligence Telecommunications 87

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

FEBRUARY 8, 2021

This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03 scalability, ROI, and success. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027. challenges.

Data 108

Data Machine Learning Artificial Inteligence Automotive 108

Newgen Software

JANUARY 2, 2024

As a next step, BPM platform introduces the heavy artillery in the form of digital tools ranging from business analytics software to web forms, to data mining to collaborative work tools that will facilitate successful completion of business processes.

Software Review 52

Software Review Systems Review Technical Review Artificial Inteligence 52

Sunflower Lab

APRIL 2, 2024

For CEOs, predictive analytics is an essential tool because it enables them to know which clients are likely to buy certain products or services, how the market trends will play out in the future, and how the business is performing – information needed to make the right strategic decisions that will support growth and profitability.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Sunflower Lab

JULY 5, 2023

Benefits of Using Intelligent Process Automation Intelligent Process Automation brings numerous benefits to day-to-day business operations like scalability, productivity, accuracy, and intelligent decision making based on the past data available with minimal human interaction.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Performing real-time or predictive business analytics with minimal latency. percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

O'Reilly Media - Data

JULY 23, 2018

Scalable Machine Learning for Data Cleaning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Media, Marketing, and Advertising". Can decentralization technologies (like blockchains) pave the way for new forms of data exchanges?

Machine Learning 118

Machine Learning Artificial Inteligence How To Case Study 118

Altexsoft

JANUARY 14, 2021

Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. Modern cloud solutions, on the other hand, cover the needs of high performance, scalability, and advanced data management and analytics. Scalability opportunities. Scalability.

Backup 115

Backup Azure Software Review Systems Review 115

CTOvision

JULY 25, 2016

Leveraging more than 40 years of experience in developing and servicing the world’s most advanced supercomputers, Cray offers a comprehensive portfolio of supercomputers and big data storage and analytics solutions delivering unrivaled performance, efficiency and scalability. About Deloitte Advisory.

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

Mobilunity

NOVEMBER 17, 2021

With App Engine and the Google cloud solution architecture , developers can build highly scalable applications on a fully managed serverless platform. Microsoft’s Azure PaaS includes operating systems, development tools, database management, and business analytics. Fast time-to-market. Easy scalability.

Software Review 52

Software Review How To Systems Review Google Cloud 52

Gorilla Logic

MAY 19, 2021

In short, CEOs are looking at however and wherever technology can be used to deliver continuous value that creates advantage and grows the business. To deliver on these critical technology initiatives, companies need a sourcing strategy that balances speed to market and investment. Should you build software in-house or outsource it?

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

NOVEMBER 2, 2020

real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The factors driving this trend are part technical, part business, and part cultural. You can take this knowledge and build a RTDW that is specialized for Time Series and Event Analytics.

Data 94

Data Analytics Storage Big Data 94

Cloudera

DECEMBER 21, 2020

Hybrid cloud is the best of both worlds – it allows low latency in data transfer combined with high data security offered by on-prem with the low TCO of ownership of scalable advanced analytics solutions in the cloud. . Enhancing Online Customer Experience with Data .

Retail 91

Retail Cloud Strategy Data 91

Cloudera

FEBRUARY 22, 2021

For example, a technology organization that is rapidly evolving its data offerings and / or expanding into new markets should assign higher importance to business value acceleration, whereas an organization that has a cost rationalization objective should focus on cost reduction or avoidance.

Data 79

Data Analytics Government Technical Review 79

Hu's Place - HitachiVantara

AUGUST 13, 2018

At that time in 2014, MyRepublic occupied about 1% of the internet service provider market with hopes to reaching 5% in a few years. They can deploy to new markets in less than 60 days! .” By offering a utility, customers tend to switch providers only after a long period of time.

Industry 45

Industry Open Source Wireless Mobile 45

Altexsoft

FEBRUARY 3, 2020

We prepared a list of statistical facts just to show you the sheer magnitude of the data science industry: The projected worldwide revenue for big data and business analytics solutions in 2019 is $189 billion. Real-time data tracking and analytics. Scalability makes it appropriate for both the smaller and the bigger teams.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Altexsoft

FEBRUARY 8, 2021

The accuracy of such forecasts is unreliable since it implies general stability that is rare for the highly changing environment of most markets. Managing distribution also relies on market research as choosing the right distribution channels is vital for optimal customer reach. Analytics in procurement and contract management.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

NOVEMBER 23, 2021

With the help of the Denodo Platform, the retailer managed to integrate and deliver all business-critical data to its supply chain, marketing, operations, sales, and other departments by virtualizing data sources and creating a unified, semantic layer. It is a good idea to include all sources that can enhance business analytics.

Virtualization 69

Virtualization Tools Data Architecture 69

Cloudera

DECEMBER 21, 2020

ML workspaces are fully containerized with Kubernetes, enabling easy, self-service set up of new projects with access to granular data and a scalable ML framework that gives him access to both CPU and GPUs. Ready to start experimenting, he logs in to his CDP ML workspace.

Data 97

Data Virtualization Banking Data Engineering 97

O'Reilly Media - Ideas

MARCH 1, 2023

Decomposing a complex monolith into a complex set of microservices is a challenging task and certainly one that can’t be underestimated: developers are trading one kind of complexity for another in the hope of achieving increased flexibility and scalability long-term. R has slightly more market share, but Pandas has better growth.

Trends 137

Trends Technical Review Technology Software Review 137

CTOvision

OCTOBER 18, 2013

The solution enables analysts to blend complex data, build sophisticated analytics in a much easier way than tools like SAS, and simplify how business users consume analytic insights. More than 300 customers, including Experian Marketing Services and McDonald’s, and 200,000+ users worldwide rely on Alteryx daily.

Technical Review 99

Technical Review Analytics Technology Big Data 99

LaunchDarkly

JANUARY 17, 2019

. “We’re very laser-focused on making the developer extremely successful and happy and comfortable, comfortable that we’re reliable, comfortable that we’re scalable, comfortable that we can handle their load. It’s like,’Hey, if marketing wants to do a 6 a.m. It’s like,’Hey, if marketing wants to do a 6 a.m.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Altexsoft

SEPTEMBER 19, 2019

Magic Quadrant for Analytics and BI Platforms as of January 2019. Sisense: “no PhD required to discover meaningful business insights”. Sisense is a business analytics platform that supports all BI operations, from data modeling and exploration to dashboard building. Picture source: Stellar. Data sourcing.

Business Intelligence 13

Business Intelligence Tools Data Azure 13