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Data Monetization Market to Generate Revenue of $10.9 Billion By 2028 | Advertising Sector to Generate 28% of Global Revenue

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Westford, USA, Sept. 05, 2022 (GLOBE NEWSWIRE) — As businesses continue to turn to data to fuel successful operations, monetization of data has emerged as a key focus. Solutions that allow businesses to make the most of their data assets include data insights and consulting, big data analytics, cloud-based solutions, and corporate intelligence. As per SkyQuest’s findings, there are a number of ways businesses can monetize data. Some methods in the global data monetization market include charging for access to data records, selling analytic products or services that use anonymized data, charging for insights into customer behavior derived from big data, and charging for using specialized machine learning algorithms. Here are three ways in which businesses are using data monetization to drive profitability:

1. Data insights and consulting – Through analysis of large sets of information, businesses can identify patterns and trends that may not be apparent when looking at individual pieces of data. This helps industries such as healthcare, retail, and finance identify opportunities and improve operations.

2. Big data analytics – By analyzing massive amounts of data with AI in real time, businesses in the global data monetization market can spot trends and make better decisions faster than ever before. Using techniques such as machine learning and statistical modeling, businesses can identify correlations that might otherwise go unnoticed.

3. Cloud-based solutions – Offering quick delivery times and scalable architecture, cloud-based solutions offer a cost-effective way for businesses to access data whenever and wherever they need it. This is particularly helpful for organizations with a dispersed workforce or limited IT resources.

The report would help Data Monetization market participants in gaining insights about market dynamics, key trends, opportunities, major players, pricing analysis, consumer base, segmental analysis, market data analysis, competitive landscape, and market share analysis, among others.

Get sample copy of this report:

https://skyquestt.com/sample-request/data-monetization-market

Advertising is the top revenue Garneting Domain Global Data Monetization Market

SkyQuest has published new report. The study found that despite some challenges (such as regulatory uncertainty), especially in terms of removing duplicative information from data sets, there are numerous areas where companies can generate revenue by selling or renting their data. In total, the nine domains investigated accounted for more than $1 trillion in revenues in 2021. In each domain, SkyQuest analysts identified five strategies by which businesses can generate monetizable data.

The top three sources of revenue for data-driven companies in the global data monetization market are advertising (28%), selling customer insights (25%), and selling applications or services powered by the data (21%). However, not all companies are seeing the same levels of profitability from these methods. Advertising is the most profitable path for most companies, generating an average net margin of 33%.

But while selling customer insights is a more lucrative source of revenue for some businesses, it’s less lucrative for others. For example, the net margin for selling customer insights is 20% for those with $5 million in revenue and 5% for those with $1 billion in revenue.

Data monetization market analysis by SkyQuest looks at how data can be used to drive profitable business processes. They offer the following insights:

  • There is a huge untapped opportunity for firms to generate revenue from the data they have.
  • Businesses must take a data-centric approach in order to capitalize on this opportunity.
  • There are different ways organizations can generate revenue from data and there is no one right answer.

Data monetization, a critical component of enterprises’ data management strategies, is growing in importance as businesses grapple with how to create value from their data and figure out how to effectively leverage big data and analytics.

One measure of data monetization efforts is the volume of monetizable data, or the amount of data that could be sold or rented to third parties for use in marketing and other business operations. This topic is addressed by the SkyQuest in a recent study on data monetization market. The study looked at 9 commercial domains in which monetizable data could be generated and examined whether these domains are exhibiting growth rates that support profitable exploitation of large volumes of such data.

SkyQuest has done a detailed study of global data monetization market and has identified current growth opportunities, challenges, top area and their profit margin, revenue generation opportunities, new revenue pockets, top players in the market, market share analysis, competitive landscape, among others.

Browse summary of the report and Complete Table of Contents (ToC):

https://skyquestt.com/report/data-monetization-market

AI Offers End-less Opportunity for Data Monetization Market

When it comes to data monetization, the sky is really the limit. There are endless opportunities to use artificial intelligence (AI) in order to optimize and improve how data is used for various applications in the global data monetization market. SkyQuest has done a detailed study on how AI is being across different domains for data monetization. Here are three examples of how AI can be used to help optimize data monetization across different industries.

First, consider how AI can be used to improve the efficiency of marketing campaigns. With the help of AI, marketers can quickly identify which marketing messages are resonating with the target audience and adjust their campaigns accordingly. This can save a lot of time and money while still providing the same level of customer engagement.

Second, AI can be used to improve customer experience in the global data monetization market by automating processes that currently rely on human expertise. For example, instead of having customer service personnel manually handle orders, AI could be programmed to process these transactions accordingly. This would save both time and money for companies, while also improving customer satisfaction rates.

Third, AI can be used to optimize business operations in general. For example, AI could be utilized in order to better monitor financial data in order to make strategic decisions concerning future investments. By using this information in conjunction with other data sources, businesses can develop better growth strategies.

One example of how AI is being used to grow revenue is through product recommendation. Large online retailers, such as Amazon, use machine learning algorithms in order to recommend products to customers based on their past purchases. This allows retailers to generate more sales by targeting specific products and customers. Similarly, banks in the data monetization market use AI to detect frauds and other illegal activities. AI can also help analysts identify patterns in customer data that may indicate potential risk.

Another growing sector where AI is transforming data monetization is marketing automation. With marketing automation, companies can automatically send targeted emails and SMS messages to users based on their interactions with the company’s website or app. This saves time and money for marketers, who can instead focus on strategy and execution rather than manual tasks.

For more details about global data monetization market and application and opportunities AI is providing,

Speak to Analyst for your custom requirements:

https://skyquestt.com/speak-with-analyst/data-monetization-market

Top Players in Global Data Monetization Market

  • Alphabet (US)
  • Microsoft Corporation (US)
  • Salesforce (US)
  • Oracle (US)
  • SAP (Germany)
  • SAS (US)
  • Sisense Inc, (US)
  • TIBCO Software (US)
  • IBM (US)
  • Qlik (US)
  • Domo (US)
  • Accenture (Ireland)
  • Virtusa (US)
  • Infosys (India)
  • 1010DATA (US)
  • Infor (US)

Related Reports in SkyQuest’s Library:

Global Data Protection As A Service Market

Global Big Data In Manufacturing Industry Market

Global Electrical Digital Twin Market

Global Competitive Intelligence Tools Market

Global Enterprise Mobility Services Market

About Us:

SkyQuest Technology is leading growth consulting firm providing market intelligence, commercialization and technology services. It has 450+ happy clients globally.

Address:

1 Apache Way, Westford, Massachusetts 01886

Phone:

USA (+1) 617-230-0741

Email: [email protected]

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GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

Appian Signs a Strategic Collaboration Agreement with AWS to Deliver Private AI for End-to-End Process Automation

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Collaboration leverages Amazon Bedrock and Sagemaker to power Appian’s Data Fabric with generative AI capabilities
MCLEAN, Va., April 16, 2024 /PRNewswire/ — Appian (Nasdaq: APPN) announced today that it has signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to make generative artificial intelligence (AI) more accessible to enterprise business processes. Appian will invest significant resources to find novel ways to combine Appian’s native AI capabilities and the Appian data fabric with the large language models (LLMs) provided by Amazon Bedrock and machine learning (ML) capabilities from Amazon SageMaker. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies via a single API, along with a broad set of capabilities organizations need to build generative AI applications with security, privacy, and responsible AI. Amazon SageMaker is a service to build, train, and deploy ML models for any use case with fully managed infrastructure, tools, and workflows.

Appian is designed to automate mission-critical business processes in some of the most innovative, highly regulated, and security-sensitive industries. These customers want to leverage AI while maintaining the security of their data. They also face shortages of data scientists and increasing information technology (IT) backlogs. Appian’s private AI approach gives enterprises control over their own data and makes sure their data is not used to train public models that other organizations can use. Appian’s low-code AI process platform with its Appian AI Skills capability enables customers to easily incorporate AI into business processes, letting AI and humans work together seamlessly.
“Appian’s collaboration with AWS takes a major leap forward with this announcement,” said Michael Beckley, CTO at Appian. “The AI economy is here and it will quickly create a strong competitive advantage for organizations that know how to use it. Enterprises that upgrade their core business processes with AI and Appian’s data-driven insights will thrive while those that fail to do so will lose control of their data and their future. Amazon Bedrock is an important enabler for our private AI vision. Together, we give organizations the ability to effortlessly use AI for process automation with data privacy and security at the forefront.”
“The Appian AI Skill Designer helps us get real value from AI without needing a team of data scientists to figure it out. The no-code design made it quick and easy for our developers to incorporate AI into our existing applications,” said Matt Richard, CIO at LiUNA.
By harnessing the capabilities of Amazon Bedrock, Appian gains the ability to host LLMs within customer compliance boundaries and privately customize those models, ensuring that sensitive data remains secure and confidential. Amazon SageMaker allows Appian customers to create, train, and fine tune proprietary AI models using their own data. As AWS AI and ML services are designed with security and privacy best practices, Appian customers can leverage their data to receive more accurate and relevant results from their generative AI applications based on the unique needs of their businesses.
“Companies deeply care about security and privacy, especially when leveraging AI. This collaboration between AWS and Appian helps customers streamline mission-critical business processes confidently by leveraging AI and machine learning in a secure and compliant manner,” said Chris Grusz, Managing Director of Technology Partnerships at AWS.
Learn more about Appian’s relationship with AWS and its vision for generative AI-powered developer experiences.
About AppianAppian is a software company that automates business processes. The Appian AI Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world’s most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences. For more information, visit appian.com. [Nasdaq: APPN]
Follow Appian: LinkedIn, Twitter.
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Artificial Intelligence

GAC TECH DAY 2024: Groundbreaking Innovations Redefine Automotive Excellence

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GUANGZHOU, China, April 16, 2024 /PRNewswire/ — On April 12, GAC TECH DAY 2024 took center stage at the GAC Research Institute in Guangzhou, China, under the theme “See the World with New Vision.” The conference was attended by approximately 260 foreign and domestic media outlets and distinguished guests, including relevant Guangdong Province and Guangzhou City leaders, Zeng Qinghong, Chairman of GAC Group, and Feng Xingya, President of GAC Group.

On the day, GAC, a trailblazer in automotive advancements, unveiled several groundbreaking technologies set to revolutionize the driving experience.
First, the Garcia Intelligent Driving System, a pioneering pure vision-based intelligent driving solution devoid of maps, promises a seamless and immersive driving experience. Unlike traditional systems reliant on high-precision maps and LiDAR, Garcia leverages visual sensors and AI algorithms to perceive the world with human-like precision. With three leading capabilities in visual recognition, Garcia offers unparalleled accuracy and reliability in complex traffic scenarios.
GAC also announced key breakthroughs in its all-solid-state power battery technology, setting a new standard for energy density, safety, and capacity. The innovative battery promises extended ranges exceeding 1000km and enhanced safety under extreme conditions. 
Both innovations are set for mass production and deployment by 2026.
In addition to technological breakthroughs, GAC showcased a range of advanced technologies and user-centric products, including electromagnetic suspension, skateboard chassis, and GOVE, the company’s first eVTOL mobility solution that has already completed its maiden flight this March.
GAC’s new iGLCA intelligent light commercial vehicle segment—MIRACO Motor—also made its official debut at GAC TECH DAY 2024 with the release of its flagship model “MiraLounge”. Primarily designed for passenger transport services, the vehicle allows for the separation of cabin and driving compartment to achieve a multi-model derivation through “MiraBoard 2.0” technology. The vehicle supports L2 to L4 level intelligent driving and is scheduled to hit the market in the fourth quarter of 2024. 
The event also marked the launch of the Welfare Edition of E9, GAC’s luxury PHEV MPV. The new version of the 7-seater caters to users with mobility challenges with its unique detachable electric seat.
GAC’s relentless pursuit of innovation underscores its vision to reshape the automotive landscape and drive sustainable growth. With a focus on technology-driven development, GAC aims to continue pushing the boundaries of automotive excellence, setting new benchmarks for the industry.
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Artificial Intelligence

SQream’s No-Code Platform Panoply Earns 21 G2 Badges in Key Customer Satisfaction Categories for Spring 2024 Report

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These badges demonstrate Panoply’s Continuously Unparalleled Excellence in data warehousing and data extraction based on compiled user reviews
NEW YORK, April 16, 2024 /PRNewswire/ — SQream, the GPU accelerated data processing and analytics company, announced today the remarkable achievement that its no-code ELT and analytics platform Panoply, has received 21 prestigious G2 badges for Spring 2024. These accolades highlight Panoply’s continued commitment to excellence and innovation in the data warehouse and ELT (Extract, Load, Transform) space, and underscores Panoply’s dedication to their customers, particularly in the realm of ease of use, and marks the highest number of badges awarded to the company in one report to date.

G2, a prominent authority in business software and service evaluations, leverages the collective knowledge of its user community to aid individuals in making well-informed choices regarding software and services for their enterprises. The G2 Spring 2024 Report rankings underscore Panoply’s significance to small- and medium-sized businesses grappling with data extraction challenges and highlight the exceptional simplicity of Panoply’s no-code approach.
“We are truly honored to receive 21 G2 badges, which reflect Panoply’s year-on-year growth in customer satisfaction. Simplifying data management in the no-code ELT space is at the core of our commitment to our customer base, and we are thrilled to see that Panoply’s exceptional solutions driving data transformation consistently receive this trusted stamp of approval,” said Ami Gal, CEO and Co-Founder of SQream. “We look forward to advancing our strategy of delivering robust data management solutions across all business types—from SMBs leveraging Panoply for streamlined cloud-based warehousing to enterprises implementing GPU-accelerated analytics with SQream, both in the cloud and on-prem. Our commitment remains to empower every organization to maximize their data potential and drive business success.”
Panoply has consistently set the industry standard for delivering user-friendly solutions that empower organizations to harness the full potential of their data. In the Spring 2024 G2 reports, Panoply earned badges in a wide array of categories, both for their data warehouse capabilities and ETL tools, showcasing its exceptional performance and dedication to simplifying complex data processes, including:
Data Warehouse Category: 
Best Estimated ROIBest Estimated ROI – Mid-MarketBest Support – Small BusinessEasiest AdminEasiest Admin – Mid-MarketEasiest Admin – Small BusinessEasiest Setup – Mid-MarketEasiest to Do Business With – Small BusinessEasiest to UseEasiest to Use – Small BusinessFastest Implementation – Small BusinessHigh PerformerHigh Performer – Asia PacificHigh Performer – EMEAHigh Performer – Mid-MarketHigh Performer – Small BusinessETL Tools Category: 
Easiest AdminEasiest SetupHigh PerformerHigh Performer – Mid-MarketHigh Performer – Small BusinessPanoply’s no-code approach to data management provides greater visibility into business performance by aggregating data from multiple data sources to deliver deeper insights. With Panoply, organizations can automatically store raw data in analysis-ready tables, create core business logic to keep metrics consistent, and explore and visualize their data within the platform’s workbench. Deploying a consolidated storage solution like Panoply also centralizes access to data assets to provide a single source of truth.
If you want to learn more about how Panoply can help you gain fast data insights, visit https://panoply.io and schedule a demo.
About Panoply by SQream
Panoply’s managed data warehouse plus ELT and dashboards make it easy for users to sync, store, access, and visualize their data without complex code. Panoply is a product line of SQream, specializing in data processing and analytics acceleration, revolutionizing the way organizations approach big data analytics and AI/ML workloads with its unique GPU-patented SQL engine. SQream’s solutions are designed to meet the needs of enterprises grappling with massive or complex datasets, offering unparalleled performance, scalability, and cost-efficiency. Tailored for industries ranging from finance to telecommunications, SQream empowers businesses to unlock actionable insights from their data with unprecedented speed and efficiency.
SQream is trusted by leading enterprises including LG Electronics, Samsung Display, Sinch, Orange, AIS, and more. To learn more, visit sqream.com or follow us on Twitter @sqreamtech.
Media Contact:Raz KaplanSenior Marketing Manager at SQream+972 [email protected]
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