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Credit Risk Management Software Market Report (Size, Share & Trends) Comparison by Rating, ToC, Page Count, and Price only at Douglas Insights

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Isle Of Man, Aug. 31, 2022 (GLOBE NEWSWIRE) — Douglas Insights has recently added the Credit Risk Management Software Market to its search engine to enable researchers and market professionals to identify and analyze current market trends, market growth drivers, restraints, and opportunities. Douglas Insights provides a wide range of expert market reports that enable researchers to make comparisons based on ratings, dates, prices, and table of contents.

The global Credit Risk Management Software Market is expected to grow at a CAGR of 6.9% between 2021 and 2027. Credit Risk Management Softwares work to improve the credit risk models of businesses by enabling them to identify, measure, and model all the risks involved in financial decisions. These intelligence-based applications allow B2B organizations to avoid bad debt, implement complex financial strategies to secure credit transactions, and adopt a centralized application enabling the management of clients, facilities, and financial spreading. They also enable the automation of lending, credit risk analysis, and the ongoing monitoring of financial risks involved in decision-making processes. This software is essential for the long-term success of banking and financial organizations. 

Compare the reports on Credit Risk Management Software Market– https://douglasinsights.com/credit-risk-management-software-market

It is common for lenders to be faced with credit risks. However, financial institutions can mitigate these risks by providing more cash flow through higher coupon rates. While it may be impossible to predict which lender will default, proper management of credit risks can help mitigate the severity of financial losses. Moreover, this software also helps assess a borrower’s ability to repay the loans according to the original agreements allowing for a close estimation of credit risks involved in lending. The increasing demand for credit risk management solutions is driving the Credit Risk Management Software Market, which is expected to flourish in the upcoming years.

Another factor driving the growth of the credit risk management software market is the increasing awareness about credit risk management software in the banking industry to generate warning signals to identify unauthorized transactions. 

Apart from banks and financial institutions, this software is increasingly being adopted across various industries such as automobile, healthcare, government, manufacturing, BFSI, and telecom, further fuelling the demand for credit risk management software. The increasing demand for scalable credit risk management software that enables automatic risk assessment is also one of the critical drivers of growth in this market. Furthermore, the growing number of government regulations supporting credit risk management solutions is also likely to propel market growth. 

However, the advancement in credit risk management solutions also poses a risk of cyber-attacks and data theft of a company’s confidential financial records and customer information, which is one of the major restraints in the credit risk management software market. Moreover, several other credit risk management platforms offered by companies worldwide may hamper the growth of this market. Additionally, the miscalculation of non-credit risks and the availability of unstructured data may also hinder the growth of the credit risk management software market. 

The credit risk management software market can be divided into five primary regions: Middle East & Africa, North America, South America, Europe, and the Asia Pacific. North America dominates the global credit risk management software market due to an increasing adoption rate of Risk Management Solutions across all Industries, especially banks and financial Institutions. Furthermore, the credit risk management software market in Europe and the Asia Pacific is also expected to flourish owing to an increase in the adoption rate of advanced technologies to mitigate operational, credit, foreign exchange, and market risks in these regions. 

Key players in the global credit risk management software market include IBM, SAS, Active Risk, Experian, Misys, Kyriba, Active Risk, SAP, Fiserv, Pegasystems, TFG Systems, Palisade Corporation, Riskturn, Imagine Software, CreditPoint Software, Xactium, GDS Link, Zoot Origination and Risk data.

Key questions answered in this report

  • COVID 19 impact analysis on global Credit Risk Management Software industry.
  • What are the current market trends and dynamics in the Credit Risk Management Software market and valuable opportunities for emerging players?
  • What is driving Credit Risk Management Software market?
  • What are the key challenges to market growth?
  • Which segment accounts for the fastest CAGR during the forecast period?
  • Which product type segment holds a larger market share and why?
  • Are low and middle-income economies investing in the Credit Risk Management Software market?
  • Key growth pockets on the basis of regions, types, applications, and end-users
  • What is the market trend and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East & Africa?

Unique data points of this report

  • Statistics on Credit Risk Management Software and spending worldwide
  • Recent trends across different regions in terms of adoption of Credit Risk Management Software across industries
  • Notable developments going on in the industry
  • Attractive investment proposition for segments as well as geography
  • Comparative scenario for all the segments for years 2018 (actual) and 2031 (forecast)

Compare the reports on Credit Risk Management Software Market–  https://douglasinsights.com/credit-risk-management-software-market

Related Market Research Report Comparisons: 

Vendor Risk Management MarketCompare Reports on Vendor Risk Management Market by Price, Table of Contents, and Number of pages and Publisher rating. Select any 3 reports of Vendor Risk Management Market to compare.

Operational Risk Management Solution Market – The global operational risk management solution market is projected to experience great growth in the coming years. Ongoing trends indicate strong integration of artificial intelligence (AI) in operational risk management, and there are also immense growth opportunities for key players in implementing hybrid working styles.

Third-Party Risk Management Market – The goal of third-party risk management is to identify and minimize risks associated with the employment of third parties. Market trends are influenced by businesses’ adoption of new technologies and the fiercely shifting market competitiveness.

About Douglas Insights- 

Douglas Insights UK limited is the first company to provide comparison of market research reports by Table of content, price, ratings and number of pages. We understand the value of time. Productivity and efficiency are possible when you take prompt and assured decisions. With our advanced algorithm, filters, and comparison engine, you can compare your preferred reports simultaneously, based on publisher rating, published date, price, and list of tables. Our data portal enables you to find and review the reports from several publishers. You can evaluate numerous reports on the same screen and select the sample for your best match.


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Artificial Intelligence

Compact Solutions, Mighty Results: Cervoz Unleashes the Power of Edge Computing

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TAIPEI, May 20, 2024 /PRNewswire/ — Cervoz Technology, a leader in industrial-grade storage, memory, and expansion solutions, is powering the evolution of edge computing with its innovative solutions.

In today’s data-rich landscape, businesses rely on insights from IoT devices. With advancements in AI and 5G, data volumes surge, straining traditional cloud computing with bandwidth and latency issues. Edge Computing emerges as a solution, processing data at its source for real-time insights crucial for applications like digital twins, autonomous vehicles, and smart healthcare.
What is Edge Computing?
Edge Computing is a decentralized IT architecture that processes data near its origin, often at the network’s edge. This approach divides tasks from central data centers to edge devices and nodes. It enables faster, deeper insights and enhances responsiveness, improving speed and reducing latency compared to centralized clouds. Typically, an Edge Computing system comprises three layers: device, edge, and cloud.
The Device Layer
The device layer, situated closest to the physical world, comprises endpoint devices such as sensors, controllers, and cameras, among others. The layer prioritizes data collection and initial processing for real-time response and efficiency. It requires highly reliable, compact, and energy-efficient components. Cervoz’s M.2 2230 (A+E key /B+M key) NVMe SSDs and DDR4 SO-DIMM modules optimize this setup with fast data access and efficient storage in space-saving designs. They operate reliably across a wide temperature range (-40°C to 85°C) and feature additional conformal coating and anti-vibration filling for enhanced performance in harsh environments.
The Edge Layer
The edge layer, composed of edge servers and gateways, serves as a crucial link between device-layer data sources and cloud-based operations. It is designed for extensive data handling, filtering, and analytics, emphasizing quick operations and real-time responses to minimize reliance on remote data centers. For optimal performance, components must manage high processing loads with minimal latency and maximum stability. NVMe SSDs boasting PCIe Gen3 or higher, such as the Cervoz NVMe PCIe Gen3x4 SSD, with compact M.2 form factors, advanced DRAM cache buffer, and LDPC ECC technology, are perfectly suited for the edge layer. These SSDs enable efficient directory and error correction during high-speed data transfers, thus enhancing data accuracy and reliability.
The Cloud Layer
The cloud layer requires intensive processing and long-term storage, performing analytics, operating AI and machine learning, and managing extensive data systems across various edge locations. It demands high-performing and reliable components. Cervoz NVMe PCIe Gen4x4 SSDs excel with Read/Write speeds of up to 7,100/6,190 MB/s and 4K random IOPS up to 1,000K, with aluminum heatsinks and thermal throttling for overheating issues. DDR5-5600 DRAM boosts this setup with high data throughput and efficient power use, satisfying rigorous computational needs.
Interlayer Connectivity
Reliable, low-latency network connectivity is crucial as data flows between the device layer, edge, and cloud. Cervoz 10GbE Low-Profile Ethernet Card provides high-speed, stable wired connections in high-bandwidth, low-latency environments. Additionally, the new PCIe Compact Low-Profile Ethernet Card is ideal for narrow edge device enclosures. For areas where wiring is impractical, M.2 Wi-Fi cards offer essential wireless flexibility. These connectivity options ensure a solid foundation for seamless data management across all layers.
Cervoz offers comprehensive solutions to enhance edge computing capabilities. From compact NVMe SSDs and DRAM modules, to advanced modular expansion cards, enabling seamless integration, optimized performance, and unmatched reliability in edge computing deployments.
About Cervoz
Based in Taiwan, Cervoz Technology boasts almost twenty years of expertise in developing and providing industrial-grade storage, memory, and expansion solutions across a myriad of global industrial sectors.
ContactsSales: [email protected] 
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Artificial Intelligence

Team Exponentia.ai UK attended the AWS summit in London

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Team Exponentia.ai UK celebrates Sanjay Kumar’s insightful session at the AWS summit in London
LONDON, May 20, 2024 /PRNewswire/ — Sanjay Kumar, Head of Exponentia.ai in UK & Europe, delivered an impactful presentation on Driving Manufacturing Innovation through AWS Analytics & AI. The recently concluded AWS Summit took place on the 24th of April in ExCeL, London.

Sanjay shared the stage at Theatre B with Adrian Pinder from DS Smith and Ahmed Raafat from AWS, captivating the audience with insights and experiences from Exponentia.ai’s collaboration with DS Smith.
During the session, Sanjay Kumar highlighted Exponentia.ai’s impressive use cases and case studies, including the Data Factory and Procurement Spend Analytics (PSA) projects undertaken in partnership with DS Smith. These initiatives demonstrated Exponentia.ai’s commitment to leveraging the AWS ecosystem to drive operational efficiency and business growth in the manufacturing sector.
The Exponentia.ai team seized the opportunity to engage with industry peers, partners, and friends, while also exploring the latest innovations showcased at the summit. Their participation in various sessions and visits to innovative booths further enriched their understanding of industry trends and best practices.
Reflecting on the event, Sanjay Kumar expressed his enthusiasm, stating, “The AWS Summit in London provided an excellent platform for us to showcase our expertise in manufacturing analytics and AI. The overwhelming response from attendees reaffirms the value of our solutions in driving innovation and transformation across industries and our commitment to deliver value to our customers through data. We look forward to continuing our collaboration with AWS and our partners to deliver impactful outcomes for our clients.”
The AWS Summit London 2024 marked a significant milestone for Exponentia.ai, reinstating its commitment to excellence and innovation in the field of AI and analytics. As the team eagerly anticipates future events, they remain dedicated to empowering businesses with transformative technology solutions.
For more information about Exponentia.ai and its innovative offerings, please visit www.exponentia.ai. 
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Artificial Intelligence

Clarivate Launches AI-Enhanced Solution to Accelerate Trademark Watching

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Providing faster and more accurate answers to critical business questions
LONDON, May 20, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT), a leading global provider of transformative intelligence, launched the first publicly available version of Trademark Watch Analyzer today at the 2024 International Trademark Association Annual Meeting. As the next-generation trademark protection solution enhanced by artificial intelligence (AI) and cloud technology, this solution combines Clarivate global trademark and case law data, in-house IP expertise, and cutting-edge AI technology. It will provide faster and more accurate answers to critical business questions by automating key trademark watching tasks and intelligently prioritizing result sets.

Trademark Watch Analyzer connects users to trademark datasets in 258 countries and territories across 191 official trademark registers, as well as data from 7+ million trademark litigation cases. This content is harmonized and connected through AI algorithms which query, connect and mine both datasets delivering advanced insights in supported watch products. This revolutionizes the way trademark watch results are delivered, so that clients can rank results based on their chance of success/opposition.
According to data from SAEGIS®, a CompuMark™ trademark solution from Clarivate, the number of trademark applications filed globally each year has more than doubled since 2014. With over one million new trademarks added to trademark registers around the world each month, the risk of infringement has never been greater, making vigilance of trademark applications essential to protect and grow strong brands.
Gordon Samson, President, Intellectual Property, Clarivate, said: “As the global business landscape grows more complex, trademark professionals are faced with challenges including more data, less context and shorter deadlines. Our advanced AI-driven solution enables clients to confidently monitor their trademarks anywhere in the world, with global monitoring and automated alerts, while also saving time, costs and critical resources. The launch of the Trademark Watch Analyzer is the latest example of our Think forward™ promise — connecting clients to trusted intelligence to ensure an IP-empowered tomorrow.”
With a more intuitive design and user interface, Trademark Watch Analyzer will enable clients to have a much-improved user experience as they work with their results. The navigation will be based on the same architecture as the Brand Landscape Analyzer launched in 2023, providing clients with a more cohesive experience within the Clarivate product suite.
Find out more about Trademark Watch Analyzer here.
About ClarivateClarivate™ is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com
Media Contact: Jack Wan, External Communications Director [email protected]
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