Daily Archives: March 4, 2024

Yellow.ai, a specialist in AI-generated customer service automation, has announced the general availability of its Email Automation feature. The feature is capable of managing high volumes of email-based support queries effectively, offering real-time responses and scalability in customer support. Notably, the feature utilises generative AI to handle up to 80% of all incoming email queries, providing fast and accurate solutions round the clock.

The Email Automation service is advantageous as it not only supports multiple languages but also integrates with Yellow.ai's omnichannel customer service platform to deliver a holistic and tailored support experience. Such an offering is particularly valuable in today's business environment where despite the preference of many consumers for email customer service, businesses continually struggle with efficiently managing email inquiries. This challenge has spurred the necessity for robust automated solutions like Yellow.ai's that enhance customer service and minimise instances of lapsed responses and inadequate responses to enquiries during first interaction.

Yellow.ai's Email Automation service innovatively adopts Large Language Models (LLM) to comprehend complex and unstructured emails, accurately identifying multiple intents and understanding the object and urgency of the email. By identifying the user, it delivers a contextual response based on user insights, dramatically reducing ticket volumes by up to 80% and enhancing first contact resolution by up to 20%. The result of this is a significant 60% reduction in operational costs, mainly due to reduced expenses related to the recruitment and training of additional agents.

Raghu Ravinutala, CEO & Co-founder of Yellow.ai said, "With Email Automation, we're revolutionising how businesses manage customer email inquiries. Yellow.ai's Email Automation, powered by YellowG, our proprietary LLM, showcases a hallucination rate below one percent for highly accurate and contextually relevant responses. This well-timed launch aligns with our broader goal to transform customer service by solving complex enterprise challenges."

Yellow.ai's Email Automation blesses customer support teams with manifold features including Automated Workflow Triggering, Agent Assist, Simplified Classification and Seamless Integrations with leading ticketing and CRM systems such as Salesforce, SAP and Zendesk. Jessica Osborn, Sr. Manager IT Operations, Randstad USA, declared this feature a game-changer for businesses desiring to streamline their support operations on email.

Overall, With Yellow.ai offering an ode to next-generation customer support, companies can look forward to handling email queries more efficiently and instantaneously, enhancing customer experiences while aligning with cost efficiency.

Headquartered in San Mateo, Yellow.ai serves more than 1100 enterprises, including Tiket.com, Dominos, Bank of Maldives, and UnionBank, across over 85 countries. The platform is built on multi-LLM architecture and continuously trained on 16B+ conversations annually, enabling businesses to deliver elevated experiences and build lasting customer relationships.

See more here:

Yellow.ai unveils Email Automation feature for streamlined support - IT Brief New Zealand

DUBLIN, March 1, 2024 /PRNewswire/ -- The"Global Clinical Lab Automation Market by Product (Liquid Handling, Nucleic Acid Purification System, Microplate Reader, Automated ELISA, Software), End User (Hospital Laboratories, Diagnostic Laboratories) - Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.

A comprehensive market report reveals critical insights into the flourishing Clinical Lab Automation Market, with an emphasis on major products like liquid handling systems and nucleic acid purification systems. It underscores innovative technologies and systems that are transforming hospital laboratories and diagnostic centers, driving market growth at a significantCAGR of 7.8% from 2023 to 2030.

The global clinical lab automation market is expected to witness robust expansion, moving towards a valuation of $3.72 billion by 2030. With a resurgence of infectious diseases and a surging geriatric population worldwide, clinical lab automation has become critical in delivering precise and efficient diagnostic solutions.

Detailed insights provided by this report shed light on pivotal factors accelerating market growth, including the relentless pursuit of technological advancements and enhanced accuracy in laboratory instruments. The implementation of automation has been shown to markedly improve the consistency of test results while also bolstering laboratory productivity key considerations for its widespread adoption.

Extensive Product Analysis

End-User Insights:

With substantial growth anticipated in the hospital laboratories segment largely attributed to increased healthcare spending and the adoption of cutting-edge laboratory technologies this area is poised to be a major contributor to market expansion.

Regional Market Developments:

Challenges such as the high cost of clinical laboratory automation systems and the complexity of data security may impede growth. Yet, despite these hurdles, the market is expected to flourish, supported by a range of innovative products and end-user applications. Healthcare professionals and diagnostic labs are equipped to enhance their services with the sophisticated, automated technologies detailed in this comprehensive market report.

As the industry navigates through technological revolutions and demographic shifts, stakeholders in the global clinical lab automation market are cognizant of the burgeoning opportunities presented by this growth. An in-depth understanding of the existing market landscape, as provided by this report, is essential for market participants looking to consolidate their presence and capitalize on these emerging trends.

Company Profiles (Company Overview, Financial Overview, Product Portfolio, Strategic Developments, SWOT Analysis)

Scope of the Report:

Clinical Lab Automation Market Assessment-by Product

Note:Other systems include automated incubators, automated cell counters, and cell imaging systems.

Clinical Lab Automation Market Assessment-by End User

Note: Other end users include blood banks, forensic labs, and clinical research organizations

Clinical Lab Automation Market Assessment-by Geography

For more information about this report visit https://www.researchandmarkets.com/r/7p081d

About ResearchAndMarkets.com ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

Media Contact:

Research and Markets Laura Wood, Senior Manager [emailprotected]

For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

U.S. Fax: 646-607-1904 Fax (outside U.S.): +353-1-481-1716

Logo: https://mma.prnewswire.com/media/539438/Research_and_Markets_Logo.jpg

SOURCE Research and Markets

See the rest here:

Clinical Lab Automation Market to Reach $3.72 Billion by 2030 Amid Technological Advancements - PR Newswire

In a recent session conducted at The Economic Times Future Forward Middle East, leading experts gathered to discuss the key trends in hiring and onboarding leveraging technologies like AI and automation. The panel included stellar lineup of leaders like Mohammad Alfawazi, CHRO, Tabuk Pharmaceuticals Manufacturing Company, Paul Michael Gledhill, Co-founder, XpertLearning, Manish Mohan Mishra, Group Head - HR Transformation Digital & Analytics, Emirates National Oil Company (ENOC), and the panel was moderated by was moderated by Nada Rashed, Group Director, Human Resources and Operations, The N Gage Group.

AI's ability to automate tasks like resume screening, scheduling interviews, and answering candidate questions promises increased efficiency and cost savings. However, the very aspects that make AI efficient can also lead to ethical concerns, as Paul aptly highlights: "AI is just another tool, which is here to aid enable and make our lives easier." However, he warns, "we need to be conscious" of the ethical implications.

Go here to see the original:

#ETFutureForwardME: Hiring and onboarding right with AI and automation, ETHRWorldME - ETHRWorld Middle East

Baghdad (IraqiNews.com) The Iraqi General Commission for Customs started on Sunday using the ASYCUDA automation system in the Port of Umm Qasr in southern Iraq.

Iraqs Customs said in a statement that the Minister of Finance, Taif Sami, ordered to start using the automation system during a ceremony held in the Grand Welcome Yard (GWY), situated within Umm Qasr Port, attended by the United Nations representative, Nizar Amari, and other Iraqi officials, the Iraqi News Agency (INA) reported.

During the ceremony, Sami stated that the governments strategic plan to use modern technologies includes the use of automation systems. This plan aims to provide accurate data and information, achieve financial discipline, reduce errors, and achieve efficiency in the use of government resources.

The Minister erupted in rage at individuals who oppose the use of the automation system, confirming that customs officers create gangs and that they would be held responsible. In addition, an inquiry into the cause of the internet outage to stop the system will be launched.

The Iraqi General Commission for Customs uses this automation system at the customs in Baghdad International Airport.

ASYCUDA is a customs management system that utilizes information and communications technology (ICT) with the goal of modernizing customs clearance procedures in middle-class and developing economies.

The automation system streamlines and computerizes processes. ASYCUDA has a significant influence on electronic business and government activities, simplifying and lowering the cost of international commerce and increasing the accessibility of international markets for businesses from developing countries.

Originally posted here:

Iraq's Customs starts using ASYCUDA automation system in Umm Qasr - Iraqi News

OLYMPIA, Wash., Feb. 29, 2024 /PRNewswire/ -- Process innovation leaderImageSource proudly introduces ILINX AI, the latest addition to the ILINX enterprise platform, that gives organizations the ability to apply intelligent process automation to their content and data-driven business processes. ILINX AI uses content understanding, predictive analytics, and generative AI to enrich communications and transform transaction-heavy business processes, enabling organizations to realize tangible benefits in analytics, efficiency, productivity, and enhanced customer experiences.

Terry Sutherland, CEO of ImageSource, says artificial intelligence has been part of ImageSource intelligent document processing for years. But new AI capabilities, such as machine learning and large-language models, have expanded the opportunities for organizations.

"Today, our customers are looking for ways to responsibly and productively leverage tools like generative AI and predictive analytics," saysSutherland. "ILINX AI gives organizations tremendous flexibility to apply intelligent process automation where it makes the most sense, where they see value, and where they can learn the most from it. This is a long game, and we're partnering with our customers to deliver value quickly with ILINX AI and evolve every day."

ILINX AI utilizes existing content within an organization, as well as data in motion, to intelligently route information to the right person, process, or system, extract historical knowledge to power generative AI, and analyze multi-system information to make predictions and assist with smarter decision-making.

"ILINX is an incredible tool set for orchestrating the intake, utilization, and integration of content and data," says ImageSource CTO Randy Weakly. "Now, we can apply ILINX AI anywhere in the business process to augment those services and further optimize automation, enhance communications, and help organizations deliver superior user experiences."

The use cases for ILINX AI are vast, and customers are already working with ILINX to improve complex business processes. ILINX AI uses the intelligence of patterns from content and transactions to provide exceptionally accurate anomaly detection and give organizations the ability to create exceptional customer experiences by reserving the human touch for the most impactful parts of their customer relationships.

"We're incredibly proud to help our customer-partners harness AI to reimagine the customer-facing interactions they carry out every day." CEO Terry Sutherland says, "ILINX AI is a game-changer; it's highly configurable and trainable and empowers organizations to predict outcomes and speed up business processes-empowering their systems of record."

Paired with the ImageSource approach to partnering with customer-partners and creating long-term strategic vision, ILINX AI is a foundational tool for organizations looking to accelerate their digital transformation.

About ImageSourceImageSource, Inc. makes process innovation easy with advanced solutions built on ILINX, the world's most flexible process-improvement platform, delivered by a team of experts committed to customer-partner success. Leveraging proven technology and deep implementation expertise, ImageSource empowers leading enterprises and government organizations to reduce risk, modernize operations, unlock revenue, and transform the customer experience. For more information, visitwww.imagesourceinc.com, or call (360) 943-9273

SOURCE Imagesource, Inc

See the original post:

ImageSource Unveils ILINX AI for Intelligent Process Automation - PR Newswire

Artificial Intelligence (AI) has surged into the mainstream and is poised to revolutionize operations in the banking sector. Several factors have fueled this surge, notably the exponential growth in data volume and complexity, heightened pressure for swift and precise decision-making, and the imperative for transparency. While generative AI is going to be invaluable with helping banks summarize large populations of data, and you may need to whisper this, its not the only technology driving automation in the banking sector.

AI Begins with Context

In risk modeling, selecting input data points, or features, holds paramount importance, often surpassing the choice of model or algorithm. In an industry bound by stringent regulatory requirements for modeling transparency and explainability, the scope for model selection is frequently constrained, elevating the significance of input features as the primary determinants of model success or failure. Therefore, the pivotal inquiry becomes: how can we imbue our features with maximal contextual relevance?

Network-based features emerge as a strong mechanism for infusing copious amounts of information into models while upholding the imperative for transparency and explainability. One effective approach entails leveraging bespoke document-entity networks to generate features that delineate the interconnectedness of businesses and individuals. For example, utilization of network features, depicting relationships between companies and their directors, can serve as pivotal inputs for machine learning shell company detection models, in some cases yielding a 20% enhancement in performance compared to relying solely on record-level features.

The outputs of such models predictions pertaining to shell companies and the agents orchestrating their formationhold implications for bolstering risk detection efforts across Anti-Money Laundering (AML), Know Your Customer (KYC), and Fraud mitigation domains.

By leveraging a composite AI tech stack banks can integrate subject matter expertise with a range of machine learning and deep learning techniques, alongside access to vast structured and unstructured industry data. This comprehensive approach enhances adaptability, accuracy, and effectiveness of models. Leveraging expertise and domain knowledge throughout the model development process ensures high accuracy and trust in solving complex business problems. In short, banks looking to implement AI should avoid relying on one model, technique or approach. Doing so can lead to limitations in perspective, adaptability and performance.

The Importance of Network Features

Networks offer a versatile framework for modeling entity relationships across various contexts. For instance, networks depicting payment transactions between parties can unveil telltale signs of financial malfeasance. By scrutinizing specific patterns within the networksuch as cycles of transactions with similar magnitudesbanks can unearth risks that would otherwise evade detection when examining transactions in isolation. Moreover, when supplemented with a repository of known instances of fraud, network features like the frequency of U-turn or cyclic payments can fortify supervised learning models, augmenting their predictive capacity for future risk scenarios.

One particularly salient network for modeling corporate risk is the organizational legal hierarchy, encompassing directors, shareholders, and subsidiaries. Fundamental attributes such as network size, connection density, and hierarchical layers serve as invaluable dimensions for segmentation and feature generation in supervised learning models, enhancing our ability to discern and mitigate potential risks effectively.

For investigators and analysts, its here that graph analytics comes into its own by allowing them to analyze, visualize and understand hidden connections across disparate datasets. Crucially its scalable and intuitive, allowing teams to traverse billions of edges without compromising on throughput with high frequency querying.

Entity Resolution is Transforming Bankings Future

Entity resolution leverages advanced AI and Machine Learning techniques to parse, cleanse, and standardize data, enabling the identification of entities across disparate datasets reliably. This process involves clustering related records, aggregating attributes for each entity, and establishing labeled connections between entities and their source records. Compared to traditional record-to-record matching approaches, entity resolution offers significantly enhanced efficacy.

Rather than attempting to directly link every source record, organizations can introduce new entity nodes as central points for connecting real-world data. High-quality entity resolution not only facilitates linking internal data but also enables the integration of valuable external data sources, such as corporate registries, which were previously challenging to match accurately.

Integration of entity resolution technology within the banking sector marks a significant leap forward, enabling banks to transition from batch-based processes to nearly real-time product-and-service offerings across omnichannel service frameworks. This evolution can go beyond counter-fraud to encompass all customer interactions through various touchpoints, including call centers, branches, and digital channels, ensuring a seamless and dynamic customer experience.

Generative AI has an important role to play

Over the next year, I do expect to see generative AI assistants leveraging Large Language Models (LLMs) to become increasingly prevalent within banking. Generative AI allows an intuitive and conversational interface, enhancing efficiencies for analysts engaged in risk identification within investigations. For organizations, the potential advantages are substantial, as this AI assistant empowers all analyst personnel to perform at the level of the most seasoned investigators. Many of these assistants will be LLM-agnostic, allowing businesses the flexibility to employ their preferred models, whether proprietary, open source, or commercially available models like ChatGPT from OpenAI. When integrated with other aspects of the composite AI stack it will support entity resolution, graph analytics, and scoring capabilities, unlocking unprecedented potential by enabling natural language queries and prompts.

Crucially, all generative AI products cannot act as a bolt-on or in isolation to wider AI automation. The results that it will generate are only as good as the data, context and entity resolution technology on which its built. Banks looking to implement generative AI should think more broadly about how different technologies fit into their AI automation tech stack.

See the original post:

Gen AI isn't the only tech driving automation in banking - Finextra

We are all living somewhere in between these words. Bounded by a legitimate fear of what's true and whats fake, it is fascinating and frightening at the same time to witness these technological miracles. I only thought CGI existed in movies. But like seriously! Is this even happening, I mean what went so right that AI today can make reality morph?

Back in 2019 when I was 1 year deep into conversation designing, somebody could have asked me at gunpoint, can I imagine a world in 4 to 5 years where all your content needs will be taken care of, realistic images can be generated with just a few lines of text and your job getting haunted by AI? I would have thought they had too many pints last night. How can someone be so ready to figure out the possibilities these AI systems would bring?

It took me a whole lot of time and thinking to figure a way out rather way in this changing wind and rising tides. I even rode the layoff train. What worked out for me was a small mindset that is: I have the skills to navigate. What are those you might ask! In this article, Ive tried accumulating my thoughts to live the big buck dream. Unless you are a genius, an awesome content creator, or blessed with a utopian life, these pointers might help:

Dont think the winning shot requires you to work hard. That is already getting taken care by AI. Work smart. Swap out those outdated strategies stuck to your head. Dont just strive for perfection by rigor alone. Show you are unique in your approach and thought process. People love these traits. Learn, unlearn and relearn the world and what is changing.

AI might get you from point A to point B but the road taken might not always be the road to be taken. Consequence of actions is still something only we humans can determine and figure out. Your emotional intelligence is the ultimate playlist. As these innovations create more independence and dependency on tech, its high time to connect with people and understand emotions. Only then you can bring that unique human touch to roles where algorithms fear to tread.

As AI takes center stage, ethical considerations become the heartbeat of the party. You need to navigate the moral maze of bias, transparency, and responsible tech. There are tons of examples where AI getting biased and saying something its not meant to. While these AI systems play around, someone needs to mark the boundaries and create rules of engagement, something that has created a lot of interest and in turn opportunities.

Think about building bridges not just cubicles. Forget traditional silos, dress codes and strict log-in times. Its time to collaborate with everyone around you. Master the art of interdisciplinary teamwork, something that is not only good for any business but its gonna take you places. Cue the fireworks!

Nothing beats the aura of a creative flair in your work. AI can automate, LLMs can generate but nothing can bring sense without your creative virtuoso. It's a priceless skill, something no one can take it away from you. Just perfect it with time. Thrive in style.

Today I work as Senior Experience Designer with Publicis Sapient. I design conversations everyday. Automation and AI didnt make me helpless, oh darn well it could. My bridge is into creating experiences for people who rely on humans to figure out kinds of stuff unless done by AI. Wish this helps!!

PS: This article is ChatGPT free, written with pure grit and creativity.

Continued here:

Winning the Game: Essentials skills to survive AI, LLMs and Automation - DataDrivenInvestor

By Lauren Victoria Burke, NNPA Newswire Contributor

Tyler Perry was planning an $800 million expansion of his studio in Atlanta. Now the plans are on hold. Why? Because a new text-to-video artificial intelligence (AI) model. The new AI model by ChatGTP entitled Sora creates video from a text prompt.

In an interview with the Hollywood Reporter on Feb. 23, Perry, who is worth over $1 billion, said that the new technology will cause job loss in the movie industry. The question of how artificial intelligence technology will impact employment across fields is a growing concern.

In the creative fields around special effects and animation design, artificial intelligence is all but certain to cause impact and create job loss. But there are other jobs that are likely to be impacted.

With the rise of e-commerce and automated checkout systems, traditional retail roles may diminish. Cashiers: Similar to retail salespersons, automated checkout systems are reducing the need for human cashiers. Telemarketers: AI-driven chatbots and voice recognition systems are increasingly handling customer inquiries. Data Entry Clerks: Automation tools can handle routine data entry tasks more efficiently. Bookkeepers and Accounting Clerks: AI can automate many financial tasks, potentially reducing the need for manual bookkeeping.

Over the years, Tyler Perry has expanded his talents from filmmaking, television production, and writing. He established Tyler Perry Studios, one of the largest film production studios in the United States, located in Atlanta, in2006. Perrys films often explore themes of faith, family, and resilience, resonating strongly with Black audiences.

Some of Perrys notable films include: Diary of a Mad Black Woman (2005), Madeas Family Reunion (2006), Why Did I Get Married? (2007), and For Colored Girls (2010).

In addition to his film work, Perry has created successful television series such as Tyler Perrys House of Payne and The Haves and the Have Nots.

Now like so many others in an ever-changing industry impacted by changing technology, Perry will navigate changes brought on by AI.

Lauren Victoria Burke is an independent investigative journalist and the publisher of Black Virginia News. She is a political analyst who appears regularly on #RolandMartinUnfiltered. She can be contacted at[emailprotected]and on twitter at @LVBurke

Read the original here:

Automation tools Archives - Milwaukee Community Journal - The Milwaukee Community Journal