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Artificial Intelligence

Duos Technologies Group Reports First Quarter 2023 Results



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Strong First Quarter Performance Driven by 84% Revenue Increase to $2.64 Million

Continued Progress in Artificial Intelligence Development with Over 50 Planned Use Cases by Year-end

JACKSONVILLE, Fla., May 15, 2023 (GLOBE NEWSWIRE) — Duos Technologies Group, Inc. (“Duos” or the “Company”) (Nasdaq: DUOT), a provider of machine vision and artificial intelligence that analyzes fast moving vehicles, reported financial results for the first quarter (“Q1 2023”) ended March 31, 2023.


First Quarter 2023 and Recent Operational Highlights

  • Announced an add-on award of $1.9 million for the enhancement of a planned Railcar Inspection Portal (“rip®” or “RIP®”) system in the passenger transportation sector, pushing the total contract value to more than $13.5 million. This latest addition is part of a long-term installation of the Company’s most advanced RIP system, which will capture high-speed images of railcars at up to 125 miles per hour.
  • Performed over 1.7 million comprehensive railcar scans in the first quarter across 11 portals, of which more than 238,000 were unique railcars. This metric encompasses all railcars scanned at locations across the U.S., Canada, and Mexico, representing approximately 15% of the total freight car population in North America.
  • Released eight new AI detection models for use within the Company’s RIP solution since the beginning of the year. The Company currently has 37 models deployed and operational for freight and transit customers with plans to deploy more than 50 different models by the end of 2023.
  • Signed strategic partnership with a regional railroad to identify and deploy RIPs to monitor their railcar fleet.
  • Filed two additional patent applications related to the process and method for detecting defects on moving trains and inspecting aircraft during ground operations.
  • Provided input to the Rail Safety Act of 2023 on technology for wayside detection. This Bill recently made it through the U.S. Senate Committee on Commerce, Science, and Transportation. It is expected to be voted upon in the full Senate.
  • As of the end of the first quarter, the Company had $9.4 million of revenue in backlog and expects $7.7 million to be recognized during the remainder 2023.

First Quarter 2023 Financial Results
It should be noted that the following Financial Results represent the consolidation of the Company with its subsidiary Duos Technologies, Inc.

Total revenues for Q1 2023 increased 84% to $2.64 million compared to $1.44 million in the first quarter of 2022 (“Q1 2022”). Total revenue for Q1 2023 represents an aggregate of approximately $1.82 million of technology systems revenue and approximately $816,000 in recurring services and consulting revenue. The increase in revenues was driven by the manufacturing of two high-speed, bespoke RIPs for a transit customer and the successful delivery of AI detection models for a number of freight rail customers.

Cost of revenues for Q1 2023 increased 73% to $2.11 million compared to $1.22 million for Q1 2022. The increase in cost of revenues was driven by a similar increase in technology systems revenue primarily stemming from the manufacturing of two high-speed passenger RIPs.

Gross margin for Q1 2023 increased 142% to $537,000 compared to $222,000 for Q1 2022. The improvement in gross margin was driven by higher revenues related to two high-speed passenger RIPs coupled with additional algorithms deployed during the first quarter of 2023.

Operating expenses for Q1 2023 decreased 6% to $2.68 million compared to $2.86 million for Q1 2022. There was an increase in sales and marketing costs related to additional investment in staff. This was offset by a decrease in general and administrative costs primarily due to a year-over-year reduction in non-cash employee compensation charges.

Net operating loss for Q1 2023 totaled $2.14 million compared to net operating loss of $2.64 million for Q1 2022. The decrease in net operating loss was driven by the improved margins noted in the recurring services as well as project revenues as it progresses toward manufacturing and subsequent installation activities.

Net loss for Q1 2023 totaled $2.14 million compared to net loss of $2.64 million for Q1 2022. The improvement in net loss was driven by higher margins stemming from RIP projects and increased services and consulting revenues with minimal change in operating expenses.

Cash and cash equivalents at March 31, 2023 totaled $4.34 million compared to $1.12 million at December 31, 2022. As of quarter end, the Company had an additional $717,000 in receivables, bolstering its liquidity position to approximately $5.06 million. Duos also had an additional $1.53 million in inventory as of March 31, 2023, consisting primarily of long-lead items for future RIP installations.

In March 2023, the Company entered into a securities purchase agreement with certain existing investors resulting in the issuance of an aggregate of 4,000 shares of a newly authorized Series E Convertible Preferred Stock which is convertible common stock at an equivalent of $3.00 per share. Duos received aggregate proceeds of $4.00 million through the transaction.

Financial Outlook
At the end of the first quarter, the Company’s contracts in backlog represented approximately $9.4 million in revenue, of which approximately $7.7 million is expected to be recognized during the remainder of 2023. The balance of contract backlog is comprised of multi-year service and software agreements as well as project revenues spanning into fiscal 2024.

Based on these committed contracts and near-term pending orders that are already performing or scheduled to be executed throughout the course of 2023 as well as the planned expansion of the Company’s subscription business model and other contributing factors, Duos is reiterating its previously stated revenue expectations for the fiscal year ending December 31, 2023. The Company expects total revenue for 2023 to range between $20.0 million and $21.0 million, representing an increase of 33% to 40% compared to 2022.

Duos expects its improvement in operating results to be reflected over the course of the full year in 2023. As a result of timing and other factors, the Company expects revenues in the second quarter of 2023 to be in-line with the first quarter of 2023 before ramping more significantly in the latter half of the year.

Management Commentary
“We began the year building on the significant momentum we’ve generated over the last several quarters, which has us on track to deliver on our financial and operational goals for 2023,” said Duos Chief Executive Officer Chuck Ferry. “Over the last twelve months, we’ve generated approximately $16.2 million in revenues, underscoring our ability to deliver long-term performance over a sustained period and outside of quarterly fluctuations. Growth has come from a diversified pool of new customer contracts, add-on sales to existing agreements, and an increasing stream of recurring revenues as we expand our customer base as well as the breadth of our AI offerings. By the end of this year, we expect to have more than 50 commercialized AI use cases covering a wide range of railcar inspection points for both freight and passenger railcars.

“We have also remained in active discussions with many congressional leaders, regulators, rail operators, and other major stakeholders in providing support for potential new legislation, which is continuing to advance through the Congress. While our operational roadmap is not reliant on this bill, we have seen increased levels of interest from a wide range of railcar operators and owners who are looking to accelerate their technology investments to improve safety standards. Looking ahead, we are making encouraging progress in building out our new subscription offering, which is still planned to come online later this year. With our backlog at $9.4 million, we believe we have strong visibility into expected performance over the coming quarters as well as further confidence in our long-term growth outlook.”

Conference Call
The Company’s management will host a conference call today, May 15, 2023, at 4:30 p.m. Eastern time (1:30 p.m. Pacific time) to discuss these results, followed by a question-and-answer period.

Date: Monday, May 15, 2023
Time: 4:30 p.m. Eastern time (1:30 p.m. Pacific time)
U.S. dial-in: 877-407-3088
International dial-in: 201-389-0927
Confirmation: 13738333

Please call the conference telephone number 5-10 minutes prior to the start time of the conference call. An operator will register your name and organization.

If you have any difficulty connecting with the conference call, please contact Gateway Investor Relations at 949-574-3860.

The conference call will be broadcast live via telephone and available for online replay via the investor section of the Company’s website here.

About Duos Technologies Group, Inc.
Duos Technologies Group, Inc. (Nasdaq: DUOT), based in Jacksonville, Florida, through its wholly owned subsidiary, Duos Technologies, Inc., designs, develops, deploys and operates intelligent vision based technology solutions supporting rail, logistics, intermodal and government customers that streamline operations, improve safety and reduce costs. The Company provides cutting edge solutions that automate the mechanical and security inspection of fast-moving trains, trucks and automobiles through a broad range of proprietary hardware, software, information technology and artificial intelligence. For more information, visit

Forward- Looking Statements
This news release includes forward-looking statements regarding the Company’s financial results and estimates and business prospects that involve substantial risks and uncertainties that could cause actual results to differ materially. Forward-looking statements relate to future events and typically address the Company’s expected future business and financial performance. The forward-looking statements in this news release relate to, among other things, information regarding anticipated timing for the installation, development and delivery dates of our systems; anticipated entry into additional contracts; anticipated effects of macro-economic factors (including effects relating to supply chain disruptions and inflation); timing with respect to revenue recognition; trends in the rate at which our costs increase relative to increases in our revenue; anticipated reductions in costs due to changes in the Company’s organizational structure; potential increases in revenue, including increases in recurring revenue; potential changes in gross margin (including the timing thereof); statements regarding our backlog and potential revenues deriving therefrom; and statements about future profitability and potential growth of the Company. Words such as “believe,” “expect,” “anticipate,” “should,” “plan,” “aim,” “will,” “may,” “should,” “could,” “intend,” “estimate,” “project,” “forecast,” “target,” “potential” and other words and terms of similar meaning, typically identify such forward-looking statements. Forward-looking statements involve risks and uncertainties and there are important factors that could cause actual results to differ materially from those expressed or implied by these forward-looking statements. These factors include, but are not limited to, the Company’s ability to continue as a going concern, the Company’s ability to generate sufficient cash to continue and expand operations, the competitive environment generally and in the Company’s specific market areas, changes in technology, the availability of and the terms of financing, changes in costs and availability of goods and services, economic conditions in general and in the Company’s specific market areas, changes in federal, state and/or local government laws and regulations potentially affecting the use of the Company’s technology, changes in operating strategy or development plans and the ability to attract and retain qualified personnel. The Company cautions that the foregoing list of risks, uncertainties and factors is not exclusive. Additional information concerning these and other risk factors is contained in the Company’s most recently filed Annual Reports on Form 10-K, subsequent Quarterly Reports on Form 10-Q, recent Current Reports on Form 8-K, and other filings filed by the Company with the U.S. Securities and Exchange Commission (the “SEC”), which are available at the SEC’s website, The Company believes its plans, intentions and expectations reflected in or suggested by these forward-looking statements are based on reasonable assumptions. No assurance, however, can be given that the Company will achieve or realize these plans, intentions or expectations. Indeed, it is likely that some of the Company’s assumptions may prove to be incorrect. The Company’s actual results and financial position may vary from those projected or implied in the forward-looking statements and the variances may be material. Each forward-looking statement speaks only as of the date of the particular statement. We do not undertake or accept any obligation or undertaking to release publicly any updates or revisions to any forward-looking statements to reflect any change in our expectations or any change in events, conditions or circumstances on which any forward-looking statement is based, except as required by law. All subsequent written and oral forward-looking statements concerning the Company or other matters attributable to the Company or any person acting on its behalf are expressly qualified in their entirety by the cautionary statements above.

      For the Three Months Ended
      March 31
        2023       2022  
Technology systems   $ 1,827,764     $ 783,269  
Services and consulting     816,524       656,047  
Total Revenues     2,644,288       1,439,316  
Technology systems     1,767,209       865,487  
Services and consulting     339,907       351,762  
Total Cost of Revenues     2,107,116       1,217,250  
GROSS MARGIN     537,172       222,066  
Sales and marketing     307,577       283,894  
Research and development     404,885       436,717  
General and Administration     1,971,508       2,143,073  
Total Operating Expenses     2,683,970       2,863,684  
LOSS FROM OPERATIONS     (2,146,798 )     (2,641,618 )
Interest expense     (1,180 )     (3,180 )
Other income, net     4,295       182  
Total Other Income (Expenses)     3,115       (2,998 )
NET LOSS     $ (2,143,683 )   $ (2,644,616 )
Basic and Diluted Net Loss Per Share   $ (0.30 )   $ (0.49 )
Weighted Average Shares-Basic and Diluted     7,156,876       5,353,620  
          March 31   December 31
            2023       2022  
  Cash     $ 4,340,947     $ 1,121,092  
  Accounts receivable, net   717,345       3,418,263  
  Contract assets     1,426,312       425,722  
  Inventory     1,529,530       1,428,360  
  Prepaid expenses and other current assets   532,381       441,320  
  Total Current Assets   8,546,516       6,834,757  
  Property and equipment, net   579,689       629,490  
  Operating lease right of use asset   4,612,830       4,689,931  
  Security deposit     600,000       600,000  
  Patents and trademarks, net   75,017       69,733  
  Software development costs, net   454,280       265,208  
  Total Other Assets     529,297       334,941  
TOTAL ASSETS   $ 14,868,332     $ 13,089,119  
  Accounts payable   $ 1,282,184     $ 2,290,390  
  Notes payable – financing agreements   193,094       74,575  
  Accrued expenses     367,652       453,023  
  Equipment financing payable-current portion   11,566       22,851  
  Operating lease obligations-current portion   764,820       696,869  
  Contract liabilities     2,066,861       957,997  
  Total Current Liabilities   4,686,177       4,495,705  
  Equipment financing payable, less current portion          
  Operating lease obligations, less current portion   4,466,884       4,542,943  
  Total Liabilities     9,153,061       9,038,648  
Commitments and Contingencies (Note 4)      
  Preferred stock: $0.001 par value, 10,000,000 shares authorized, 9,476,000 shares available to be designated    
  Series A redeemable convertible preferred stock, $10 stated value per share,      
  500,000 shares designated; 0 issued and outstanding at March 31, 2023 and December 31, 2022, respectively,    
  convertible into common stock at $6.30 per share      
  Series B convertible preferred stock, $1,000 stated value per share,      
  15,000 shares designated; 0 and 0 issued and outstanding at March 31, 2023      
  and December 31, 2022, respectively, convertible into common stock at $7 per share      
  Series C convertible preferred stock, $1,000 stated value per share,      
  5,000 shares designated; 0 and 0 issued      
  and outstanding at March 31, 2023 and December 31, 2022, respectively,      
  convertible into common stock at $5.50 per share      
  Series D convertible preferred stock $0.001 par value, $1,000 stated value per share,   1       1  
  4,000 shares designated; 1,299 and 1,299 issued      
  and outstanding at March 31, 2023 and December 31, 2022, respectively,      
  convertible into common stock at $3 per share      
  Series E convertible preferred stock, $1,000 stated value per share $1,000 stated value,      
  30,000 shares designated; 4,000 and 0 issued      
  and outstanding at March 31, 2023 and December 31, 2022, respectively,   4        
  convertible into common stock at $3 per share      
  Common stock: $0.001 par value; 500,000,000 shares authorized,      
  7,169,339 and 7,156,876 shares issued, 7,168,015 and 7,155,552   7,168       7,156  
  shares outstanding at March 31, 2023 and December 31, 2022, respectively      
  Additional paid-in-capital   60,371,067       56,562,600  
  Total stock & paid-in-capital   60,378,240       56,569,757  
  Accumulated deficit   (54,505,517 )     (52,361,834 )
  Sub-total     5,872,723       4,207,923  
  Less: Treasury stock (1,324 shares of common stock      
  at September 30, 2022 and December 31, 2021)   (157,452 )     (157,452 )
Total Stockholders’ Equity   5,715,271       4,050,471  
Total Liabilities and Stockholders’ Equity $ 14,868,332     $ 13,089,119  
  For the Three Months Ended
  March 31
    2023       2022  
Cash from operating activities:      
Net loss $ (2,143,683 )   $ (2,644,616 )
Adjustments to reconcile net loss to net cash used in operating activities:      
Depreciation and amortization   116,588       73,628  
Stock based compensation   75,128       250,577  
Stock issued for services   32,500       40,000  
Capital of operating lease right of use asset   77,101       77,636  
Changes in assets and liabilities:      
Accounts receivable   2,700,917       1,449,908  
Contract assets   (1,000,590 )     (264,223 )
Inventory   (101,167 )     (24,426 )
Prepaid expenses and other current assets   228,941       (264,687 )
Accounts payable   (1,008,207 )     (95,708 )
Accrued expenses   (85,371 )     (30,622 )
Operating lease obligation   (8,108 )     70,094  
Contract liabilities   1,108,864       534,706  
Net cash used in operating activities   (7,086 )     (827,733 )
Cash flows from investing activities:      
Purchase of patents/trademarks   (7,339 )     (600 )
Purchase of software development   (212,067 )      
Purchase of fixed assets   (41,738 )     (101,478 )
Net cash used in investing activities   (261,144 )     (102,078 )
Cash flows from financing activities:      
Repayments of insurance and equipment financing   (201,485 )     (128,437 )
Repayment of finance lease   (11,285 )     (23,959 )
Proceeds from common stock issued         6,095,000  
Issuance cost   (299,145 )     (576,650 )
Proceeds from preferred stock issued   4,000,000        
Net cash provided by financing activities   3,488,085       5,365,954  
Net increase (decrease) in cash   3,219,855       4,436,143  
Cash, beginning of period   1,121,092       893,720  
Cash, end of period $ 4,340,947     $ 5,329,863  
Supplemental Disclosure of Cash Flow Information:      
Interest paid $ 1,180     $ 3,180  
Taxes paid $     $  
Supplemental Non-Cash Investing and Financing Activities:      
Notes issued for financing of insurance premiums $ 320,004     $ 242,591  

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Artificial Intelligence

Cisco Doubles Down on Network Assurance with AWS




News Summary: 
Cisco delivers seamless integration between ThousandEyes and Amazon CloudWatch Internet Monitor.ThousandEyes’ unmatched cloud and Internet visibility combined with AWS’s Internet health and performance insights will allow a complete view of an application’s entire service delivery path, across private environments, the public Internet and into AWS’s network.Customers benefit from new operational insights and recommendations enabling them to optimize deployments and assure exceptional digital experiences for any AWS-hosted application.LAS VEGAS, Nov. 28, 2023 /PRNewswire/ — AWS re:Invent — Today at AWS re:Invent 2023, Cisco (NASDAQ: CSCO) announced new integrations between Cisco ThousandEyes and Amazon CloudWatch Internet Monitor (CWIM), a new Internet monitoring service from Amazon Web Services (AWS). The first-of-its-kind integration empowers customers with unparalleled visibility into their cloud deployments, enabling them to deliver unmatched optimized digital experiences.

With this new integration, customers can leverage operational insights to ensure optimal placement of AWS instances and monitoring coverage based on user traffic profiles. This integration comes on the heels of ThousandEyes announcing AWS Network Path Enrichment, giving customers deeper visibility into AWS by enriching ThousandEyes Path Visualization with data from AWS data sources—helping customers work more collaboratively with providers to resolve issues that are impacting application performance.
Building upon the existing relationship between AWS and Cisco, the new integration demonstrates Cisco’s deep commitment to its end-to-end network assurance vision. Cisco securely and sustainably connects everyone to everything and assures the digital experience of every one of those connections. By working with AWS, Cisco is delivering on its promise to provide visibility into every domain that impacts digital experience—whether user, enterprise, Internet, or cloud—so it can ultimately provide artificial intelligence (AI)-driven insights, recommendations, and remediations to support the digital transformation of every customer, wherever they are on their journey. 
“Since launching one year ago, Amazon CloudWatch Internet Monitor has delivered real-time insights into the traffic and performance of our customers’ AWS VPCs, CloudFront distributions, and Workspaces towards Internet destinations. In-depth Internet visibility is critical to our customers, so we’re excited to combine forces with ThousandEyes to provide a comprehensive view of Internet health.” — Robert Kennedy, VP of AWS Border Network Engineering, AWS
“Connectivity is key to Sutherland’s business model and to our customer interactions. Cloud visibility is a big part of that and with ThousandEyes’ end-to-end visibility all the way from our employees’ home environments to AWS, we’re able to quickly catch and resolve issues which allows us to deliver consistent high-quality application experiences to both our employees and customers.”—Ted Sanfilippo, VP Infrastructure, Head of Global Network Services and GTOC, Sutherland
“Customers today need to assure digital experiences over any network—the ones they own and the ones they don’t. As the leader in Internet visibility, Cisco is on a mission to deliver unmatched, end-to-end network assurance. Today’s integration with AWS demonstrates our shared commitment to empower our customers to more effectively monitor and manage their cloud environments.”— Mohit Lad, Senior Vice President and General Manager, Network Assurance, Cisco, and Co-Founder, ThousandEyes
For more information and live demos visit ThousandEyes at AWS re:Invent at booth #1621. Join our Lightning Talk on the exhibit floor: NET102-S, “Extending ThousandEyes visibility to the AWS network,” November 28 at 3:30 PM – 3:50 PM (PDT)
The Amazon CloudWatch Internet Monitor integration will be available in Cisco ThousandEyes in spring 2024. The ThousandEyes platform is available for purchase today in AWS Marketplace.Additional Resources
ThousandEyes Announcement BlogAWS Marketplace: CiscoCisco at AWS re:Invent 2023Additional Cisco news at AWS re:InventAbout CiscoCisco (NASDAQ: CSCO) is the worldwide technology leader that securely connects everything to make anything possible. Our purpose is to power an inclusive future for all by helping our customers reimagine their applications, power hybrid work, secure their enterprise, transform their infrastructure, and meet their sustainability goals. Discover more on The Newsroom and follow us on X at @Cisco. Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco’s trademarks can be found at Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company.
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Artificial Intelligence

Artificial Neural Network Market to Reach $1.4 Billion by 2032 at 19.9% CAGR: Allied Market Research




The growing demand for AI-based solutions and the rising need for intelligent business processes are expected to drive the global artificial neural network market growth.
NEW CASTLE, Del., Nov. 28, 2023 /PRNewswire/ — Allied Market Research published a report, titled, “Artificial Neural Network Market by Component (Solution and Service), Deployment Mode (On-premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium-sized Enterprises), and Industry (Healthcare, BFSI, Retail and E-commerce, Manufacturing, Automotive, and Others): Global Opportunity Analysis and Industry Forecast, 2022–2032”. According to the report, the artificial neural network industry generated $227.8 million in 2022 and is anticipated to generate $1.4 billion by 2032, witnessing a CAGR of 19.9% from 2023 to 2032.

Prime determinants of growth
The notable factors positively affecting the artificial neural network market include the growing demand for AI-based solutions and the rising need for intelligent business processes. However, a lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN) can hinder market growth. Furthermore, advancements in big data analytics and the availability of high-performance computing systems offer lucrative market opportunities for the market players. 
Download Sample Pages:
Report coverage & details:
Report Coverage
Forecast Period
Base Year
Market Size in 2022
$227.8 Million
Market Size in 2032
$1.4 Billion
19.9 %
No. of Pages in Report
Segments covered
Component, Deployment Mode, Enterprise Size Industry, and Region.
Growing demand for AI-based solutions
The rising need for intelligent business processes
Advancements in big data analytics.
The availability of high-performance computing systems.
A lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN)
Buy this Complete Report (450 Pages PDF with Insights, Charts, Tables, and Figures) at:
The solution segment to maintain its leadership status throughout the forecast period
Based on component, the solution segment held the highest market share in 2022, accounting for less than two-fifths of the artificial neural network market revenue, and is estimated to maintain its leadership status throughout the forecast period. This is attributed to the growing need for a high level of personalization which is one of the primary reasons enterprises are increasing their investment in the artificial neural network market. However, the services segment is projected to manifest the highest CAGR of 21.8% from 2023 to 2032. The services segment is expected to witness the highest growth, as these services help to reduce the time and costs associated with optimizing systems in the initial phase of deployment. 
The on-premise segment to maintain its lead position during the forecast period
Based on deployment mode, the on-premise segment accounted for the largest share in 2022, contributing for more than one-fourth of the artificial neural network market revenue. An increase in the need for secure and reliable data within the organization is fueling the market growth for on-premises-based artificial neural network solutions. However, the cloud segment is expected to portray the largest CAGR of 21.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. It provides several advantages such as reducing costs, supporting business, and effectively controlling the business environment in the organization.
The large enterprises segment to maintain its lead position during the forecast period
Based on enterprise size, the large enterprises segment accounted for the largest share in 2022, contributing for more than one-fourth of the artificial neural network market revenue, owing to the growing demand for artificial neural network solutions in large enterprises which is fueling the market growth in these enterprises. However, the small and medium-sized enterprises segment is expected to portray the largest CAGR of 22.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. It provides various benefits to the small and medium-sized enterprises organization.
The healthcare segment to maintain its lead position during the forecast period
Based on industry vertical, the healthcare segment accounted for the largest share in 2022, contributing for less than two-fifths of the artificial neural network market revenue, owing to the development of digital technologies in IT sector. However, the manufacturing segment is projected to manifest the highest CAGR of 24.3% from 2023 to 2032. The surge in implementation of automation trends and the increase in utilization of digital technology in this sector are expected to provide lucrative opportunities for the market.
North America region dominated the global artificial neural network market in 2022
Based on region, the North America segment held the highest market share in terms of revenue in 2022, accounting for less than two-fifths of the artificial neural network market revenue.  The increase in the usage of artificial neural network solutions in businesses to improve businesses and the customer experience is anticipated to propel the growth of the market in this region. However, the Asia-Pacific segment is projected to manifest the highest CAGR of 21.8% from 2023 to 2032. Countries such as China, India, and South Korea are at the forefront, embracing digital technologies to enhance their effectiveness and competitiveness, which is further expected to contribute to the growth of the market in this region.
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Competition Analysis:
Recent Product launches in the Artificial Neural Network Market
In April 2023, Google LLC launched a cloud-based automation toolkit for healthcare organizations and previewed Med-PaLM 2, a neural network capable of answering medical exam questions.In August 2021, IBM Corporation unveiled details of the upcoming new IBM Telum Processor designed to bring deep learning inference to enterprise workloads to help address fraud in real-time..Recent Partnerships in the Artificial Neural Network Market
In June 2023, Snowflake partnered with Microsoft to simplify joint customers’ artificial intelligence projects. A core focus of the collaboration is Microsoft’s Azure OpenAI Service. It provides cloud-based versions of OpenAI LP’s machine learning models, including GPT-4.In November 2021, Qualcomm Technologies partnered with Google Cloud, on Neural Architecture Search (NAS), enabling the companies to create and optimize AI models automatically rather than manually.Leading Market Players: –
Amazon Web Services Inc. Google Inc. Hewlett Packard Enterprise Development LP IBM Corporation Intel Corporation Microsoft Corporation NVIDIA Corporation Oracle Corporation Qualcomm Technologies Inc. Salesforce Inc.The report provides a detailed analysis of these key players in the artificial neural network market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different countries. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario. 
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Artificial Intelligence

New process definition capabilities in PIMS further enhance quality assurance and “right -first-time” initiatives for pharma manufacturers




WOKING, England, Nov. 28, 2023 /PRNewswire/ — IDBS unveils new process definition templates in its latest release, PIMS 5.1. Process definition templates enable pharma manufacturers to template process steps and quality specifications for faster process definition set-up and improved harmonization across the manufacturing teams to further enhance quality assurance (QA) and “right-first-time” initiatives.

Providing contextualized access to aggregated manufacturing data, PIMS offers a single source of data truth for efficient gathering, sharing and analysis of critical manufacturing process and quality data to support continued process verification (CPV), investigations and process optimization.
This release builds on recent PIMS’ process definition enhancements that added process definition versioning and approvals to help alleviate manual standard operating procedure (SOP) requirements and enhance QA for a more robust GxP environment.
PIMS’ customers report that these standardized process definition templates will reduce their manual process definition set-up and enable easy, harmonized site and product comparisons.
“Our customers recognize the value of being able to trace their process data over time, not only for tech transfer but also to help them learn from their historical data and optimize future process development,” says Pietro Forgione, General Manager at IDBS. “Having their critical process data in PIMS already gives them the assurance of data integrity and these new enhancements now make it even easier to complete QA and validation steps and move them closer to ‘right-first-time’ manufacturing.”
To learn more, register for the December 6 webinar here.
About IDBS
IDBS helps BioPharmaceutical organizations accelerate the discovery, development and manufacturing of the next generation of life-changing therapies that advance human health worldwide. From lab through manufacturing, IDBS leverages its 30+ years of experience working with a diverse list of customers – including 18 of the top 20 global BioPharma companies – and deep expertise in scientific informatics and process data management to tackle today’s most complex challenges.
Known for its signature IDBS E-WorkBook product, IDBS has extended solutions across the entire value chain for BioPharma Lifecycle Management (BPLM). Built on analytics-centric and cloud-native technology, IDBS Polar and Skyland PIMS platforms are powered by a digital data backbone to drive faster and smarter decisions in drug development and across the supply chain.
Learn more at
MEDIA ENQUIRIES e |  [email protected] 
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