artificial intelligence – Work From Homee http://work-fromhomee.com/ Thu, 17 Mar 2022 01:06:46 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://work-fromhomee.com/wp-content/uploads/2021/04/cropped-icon-32x32.png artificial intelligence – Work From Homee http://work-fromhomee.com/ 32 32 Bragar Eagel & Squire, PC remind investors of this class https://work-fromhomee.com/bragar-eagel-squire-pc-remind-investors-of-this-class/ Thu, 17 Mar 2022 01:06:46 +0000 https://work-fromhomee.com/bragar-eagel-squire-pc-remind-investors-of-this-class/ NEW YORK, March 16, 2022 (GLOBE NEWSWIRE) — Bragar Eagel & Squire, PC, a nationally recognized shareholder rights law firm, reminds investors that class action lawsuits have been filed on behalf of shareholders of Cerence, Inc. (NASDAQ: CRNC), Affirm Holdings, Inc. (NASDAQ: AFRM), Cabaletta Bio, Inc. (NASDAQ: CABA) and Telefonaktiebolaget LM Ericsson (NASDAQ: ERIC). Shareholders […]]]>

NEW YORK, March 16, 2022 (GLOBE NEWSWIRE) — Bragar Eagel & Squire, PC, a nationally recognized shareholder rights law firm, reminds investors that class action lawsuits have been filed on behalf of shareholders of Cerence, Inc. (NASDAQ: CRNC), Affirm Holdings, Inc. (NASDAQ: AFRM), Cabaletta Bio, Inc. (NASDAQ: CABA) and Telefonaktiebolaget LM Ericsson (NASDAQ: ERIC). Shareholders have until the deadlines below to ask the court to serve as lead plaintiff. Additional information on each case can be found at the link provided.

Cerence, Inc. (NASDAQ: CRNC)

Course period: February 8, 2021 – February 4, 2022

Lead Applicant Deadline: April 26, 2022

Cerence is a Burlington, Massachusetts-based company focused on creating artificial intelligence-based virtual assistants primarily for the automotive market. Despite the ongoing COVID-19 pandemic, supply chain issues and semiconductor shortages, which have curtailed global auto production, Cerence continued to report revenue growth and growth. strong demand for software licenses for its products. Cerence even touted its “visibility” into demand for its products by providing fiscal 2024 revenue forecasts, forecasts that were a focus of securities analysts and which the company has raised significantly over the course of the year. period covered by the appeal.

The class action alleges that, during the class action period, defendants made materially false and misleading statements and failed to disclose material adverse facts about the company’s business, operations and prospects in violation of the Exchange Act and SEC Rule 10b-5. Specifically, defendants have failed to disclose: (1) that the global shortage of semiconductors has had a material adverse impact on Cerence’s software license demand; (2) that defendants masked the impact of the semiconductor shortage on the company’s software license demand by driving sales forward; and (3) that as a result of the foregoing, defendants’ statements regarding Cerence’s business, operations and prospects were false and misleading and/or lacked reasonable basis.

The truth began to emerge during Cerence’s November 22, 2021 earnings call for the fourth fiscal quarter of 2021 ended September 30, 2021, resulting in Cerence’s share price crashing and substantial losses for investors. . On that call, Cerence announced fiscal 2022 revenue guidance well below analysts’ expectations. In response to this revelation, Cerence’s stock price fell more than 20% from a closing price of $104.06 on the previous trading day to a close of $82.59 on November 22. 2021. The company’s stock price continued to fall 5% the next day to close at $78.27 on November 23, 2021.

Then, about three weeks later, Cerence CEO Sanjay Dhawan abruptly resigned. Upon this news, Cerence’s stock price fell an additional 11%, from a closing price of $78.08 on December 14, 2021 to a closing price of $69.20 on December 15, 2021.

Finally, on February 7, 2022, the Company announced the results of its fiscal 2022 first quarter ended December 31, 2021 and shocked the market with three disclosures. First, the company announced that Chief Financial Officer Mark Gallenberger would be retiring, effective March 11, 2022. Then, during his earnings conference call, new CEO Stefan Ortmanns announced that he had conducted a review of plans, forecasts and forecasts for each of Cerence’s business units, and assumptions, and determined that “converting bookings into revenue will take longer than expected”. As a result, Cerence was forced to lower its forecast for fiscal year 2022, just months after providing a disappointing forecast for the same period. Finally, Cerence completely withdrew the closely watched guidance for fiscal year 2024. On this news, Cerence’s stock price fell another 30% from a closing price of $63.58 on the day of previous exchange from February 4, 2022 at $43.61 on February 7, 2022.

For more information on the Cerence class action, please visit: https://bespc.com/cases/CRNC

Affirm Holdings, Inc. (NASDAQ: AFRM)

Class period: February 10, 2022 after 1:15 p.m.

Lead Applicant Deadline: April 29, 2022

Affirm claims to be a “next generation platform for digital and mobile-first commerce”. Through its platform, the Company offers consumers “buy now, pay later” or “BPL” services. Affirm represents itself “a more flexible and transparent alternative to credit cards”.

At approximately 1:15 p.m. on February 10, 2022, Affirm posted a Tweet from its official account in which the Company disclosed certain measures of its second quarter 2022 financial results. The Tweet, which was posted ahead of the scheduled release of its financial results by the company, described a very successful quarter, which included a 77% increase in revenue. This sent Affirm’s stock price up nearly 10% in intraday trading.

The Tweet was materially misleading, in that it failed to disclose full details of Affirm’s second quarter financial results.

Indeed, the company deleted the Tweet and released its full second quarter financial results ahead of schedule. Full financial results were lackluster – the company posting a loss of $0.57 per share, against analyst expectations of $0.37 per share.

As a result of this news, Affirm’s stock price fell from an intraday high of $83.57 per share on February 10, 2022 to close at $58.68 per share, or about 32%.

For more information on the Affirm class action, please visit: https://bespc.com/cases/AFRM

Cabaletta Bio, Inc. (NASDAQ: CABA)

Class period: October 24, 2019; October 24, 2019 – December 13, 2021

Lead Applicant Deadline: April 29, 2022

According to the lawsuit, the IPO offering documents and defendants throughout the class period made false and/or misleading statements and/or failed to disclose that: (1) the principal data of the Phase 1 clinical trial indicated that DSG3-CAART had, among other things, worsened disease activity scores in some participants and required additional systemic medication to improve disease activity after DSG3 infusion -CAART; (2) as a result, DSG3-CAART was not as effective as the Company had represented it to investors; (3) therefore, the Company had exaggerated the clinical and/or commercial prospects of DSG3-CAART; and (4) therefore, the Company’s public statements were materially false and misleading at all relevant times. When the real details entered the market, the lawsuit claims investors suffered damages.

For more information on the Cabaletta class action, please visit: https://bespc.com/cases/CABA

Telefonaktiebolaget LM Ericsson (NASDAQ: ERIC)

Course period: April 27, 2017 – February 25, 2022

Lead Applicant Deadline: May 2, 2022

The lawsuit concerns whether the company and its officers violated federal securities laws by making false and/or misleading statements and/or failing to disclose that: (1) Ericsson overstated the extent in which it had reformed its business practices to eliminate the use of bribes to secure business in foreign countries; (2) Ericsson had bribed the terrorist group Islamic State of Iraq and Syria (“ISIS” or “Islamic State”) to gain access to certain transportation routes in Iraq; (3) as a result, the Company’s revenues from its operations in Iraq were derived, at least in large part, from unlawful and therefore unsustainable conduct; and (4) therefore, the Company’s public statements were materially false and misleading at all relevant times.

On February 15, 2022, during intraday trading hours, Ericsson issued a press release disclosing media investigations into its business dealings in Iraq. The press release assured investors of the company’s “transparency” regarding these investigations, while vaguely alluding to having undertaken its own investigative and compliance efforts.

Then, on February 16, 2022, Ericsson’s CEO told a Swedish newspaper that the company may have made payments to ISIS for access to certain transport routes in Iraq, noting that the company had identified of “unusual expenses dating back to 2018” but had not yet determined the ultimate recipient of the funds for those expenses, although defendants could “see that he disappeared[,]and that Ericsson has spent “considerable resources trying to figure this out as best we can”.

Following these disclosures, the price of Ericsson’s American Depositary Share (“ADS”) fell by $1.44 per ADS, or 11.57%, to close at $11.01 per ADS on February 16, 2022 .

Finally, on Sunday, February 27, 2022, the International Consortium of Investigative Journalists (“ICIJ”) released a report on Ericsson’s alleged relationship with the Islamic State in Iraq, citing a leaked internal investigation that found that Ericsson is said to have made “tens of millions of dollars in suspicious payments” for nearly a decade to maintain business in the country.

The ICIJ report also alleged that “a spreadsheet lists the company’s investigations into possible bribes, money laundering and embezzlement by employees in Angola, Azerbaijan, in Bahrain, Brazil, China, Croatia, Libya, Morocco, United States and South Africa.[,]which “have not previously been disclosed”.

On this news, the price of Ericsson’s ADS fell $0.84 per ADS, or 8.3%, from its closing price on February 25, 2022, to close at $9.28 per ADS on February 28. February 2022, the next trading day.

For more information on the Ericsson class action, please visit: https://bespc.com/cases/ERIC

About Bragar Eagel & Squire, PC:

Bragar Eagel & Squire, PC is a nationally recognized law firm with offices in New York, California and South Carolina. The firm represents individual and institutional investors in commercial, securities, derivatives and other complex litigation before state and federal courts across the country. For more information about the company, please visit www.bespc.com. Lawyer advertisement. Prior results do not guarantee similar results.

Contact information:

Bragar Eagel & Squire, CP
Brandon Walker, Esq.
Alexandra B. Raymond, Esq.
(212) 355-4648
investigations@bespc.com
www.bespc.com

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AI Brings Competitive Advantage and Efficiency: Financial Services Firms https://work-fromhomee.com/ai-brings-competitive-advantage-and-efficiency-financial-services-firms/ Thu, 10 Mar 2022 08:06:30 +0000 https://work-fromhomee.com/ai-brings-competitive-advantage-and-efficiency-financial-services-firms/ According to a PwC-FICCI survey, two out of three companies in the financial services (FS) industry say that artificial intelligence provides a competitive advantage and improves operational efficiency despite concerns about privacy and data protection. The survey of Indian financial institution executives found that 83% of respondents said improving customer experience is the top driver […]]]>

According to a PwC-FICCI survey, two out of three companies in the financial services (FS) industry say that artificial intelligence provides a competitive advantage and improves operational efficiency despite concerns about privacy and data protection.

The survey of Indian financial institution executives found that 83% of respondents said improving customer experience is the top driver for AI use cases. Chat automation, fraud detection and AI virtual assistants are the top three widely deployed use cases in the FS industry, he said. Of the respondents, 57% said AI would give them a competitive advantage over their peers. Improving the customer experience, improving productivity and increasing revenue were the top three drivers.

While 83% of respondents say they have a well-defined AI strategy, 65% say they are ahead of their peers in implementing AI, despite the dynamically changing AI landscape.

According to the survey, the main concerns of the financial services industry relate to data availability, consumer privacy and data security, integration, operationalization and maintenance of AI infrastructure, as well as than the very distinctive and progressive skills required to succeed in AI. PwC says its benchmarking of the current AI regulatory landscape in India against that of its global peers suggests the need for a well-designed and scalable regulatory plan for the entire FS industry and covering different categories of risks. The survey findings also underscore the need for an accountable AI framework to ensure ethical, fair, transparent and accountable practices.

According to the survey, India’s current legal infrastructure is at a nascent stage and does not address implications of biased data results, sharing of sensitive or personal data/information, non-liability in case of accident involving loss of life/property, AI transparency of models and results, AI robots and their possible rights (citizenship, licenses, etc.) and intellectual property rights (IPR), copyrights, competition laws and patent credits, etc.

The survey was conducted to understand the current adoption, sentiments, use cases, challenges and future aspirations regarding AI in financial services industries such as banking, insurance and NBFCs, asset and wealth management and payment industries.

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LinkedIn’s Reid Hoffman Creates AI Company With DeepMind Co-Founder https://work-fromhomee.com/linkedins-reid-hoffman-creates-ai-company-with-deepmind-co-founder/ Tue, 08 Mar 2022 16:03:33 +0000 https://work-fromhomee.com/linkedins-reid-hoffman-creates-ai-company-with-deepmind-co-founder/ Reid Hoffman, author, businessman and co-founder of the networking platform ‘LinkedIn’, speaks during the DLD (Digital-Life-Design) conference in Munich, Germany, 19 January 2015. Image Alliance LinkedIn billionaire Reid Hoffman has co-founded a new artificial intelligence startup called Inflection AI with DeepMind co-founder Mustafa Suleyman and former DeepMind researcher Karén Simonyan. It’s the first time Hoffman […]]]>

Reid Hoffman, author, businessman and co-founder of the networking platform ‘LinkedIn’, speaks during the DLD (Digital-Life-Design) conference in Munich, Germany, 19 January 2015.

Image Alliance

LinkedIn billionaire Reid Hoffman has co-founded a new artificial intelligence startup called Inflection AI with DeepMind co-founder Mustafa Suleyman and former DeepMind researcher Karén Simonyan.

It’s the first time Hoffman has co-founded a company since selling LinkedIn to Microsoft for $26.2 billion in 2016. It’s also the first company Suleyman has co-founded since selling DeepMind to Google. in 2014 for around $600 million.

Inflection will be led by Suleyman, who will assume the role of CEO.

“AI is one of the most transformative technologies of our time,” Hoffman said in a statement shared with CNBC. “Mustafa has been at the forefront of some of the most exciting advances in artificial intelligence. It’s a privilege to join him and Karen in building Inflection.”

Inflection’s announcement, shared exclusively with CNBC, comes just weeks after Suleyman announced he was leaving his role as vice president at Google to work alongside Hoffman at Greylock Partners, a renowned venture capital firm. who invested in Facebook (now Meta) and Airbnb. The entrepreneurs have known each other for almost 10 years.

Before joining Google, Suleyman co-founded DeepMind in London with childhood friend Demis Hassabis and New Zealander Shane Legg in 2010.

In the lead up to the Google acquisition, Suleyman helped DeepMind raise millions of dollars from billionaires including Elon Musk and Peter Thiel. He also led the company’s applied AI efforts for several years, both before and after the acquisition.

What is inflection?

Based in Silicon Valley, Inflection will aim to develop AI software products that facilitate communication between humans and computers.

“If you think about the history of computing, we’ve always tried to reduce the complexity of our ideas in order to communicate them to a machine,” Suleyman told CNBC in a call Monday.

“Even when we write a search query, we simplify, reduce, or write in shorthand so the search engine can understand what we want.”

Mustafa Suleyman, co-founder of DeepMind

Greylock Partners

When humans want to control a computer, they must learn a programming language in order to provide instructions, he added, or use a mouse to navigate and interact with on-screen elements. “All of these allow us to simplify our ideas and reduce their complexity and in some ways their creativity and uniqueness so that a machine can do something,” Suleyman said.

The British entrepreneur has claimed that a new suite of technologies that Inflection will aim to develop will eventually allow anyone to talk to a computer in plain language.

It is unclear at this stage to whom Inflection will sell its products, at what price and when.

talk to machines

Human-computer interaction has advanced dramatically over the past decade, and many people now talk to AI-powered virtual assistants like Siri and Alexa on a daily basis.

While conversations are still far from seamless, computer scientists believe it’s only a matter of time before the experience becomes more seamless as machines get better at generating their own language.

“It feels like we’re on the verge of being able to generate language at roughly human-like performance,” Suleyman said, adding that he thinks it will almost certainly be possible within five years. “It opens up a whole new suite of things we can do in the product space.”

Greylock support

Greylock told CNBC he was investing in Inflection, but declined to say how much.

The venture capital firm also plans to “incubate” the company, providing it with marketing, introductions to technology leaders and hiring support.

Hoffman will retain his full-time position at Greylock.

In August 2019, Suleyman announced on Twitter that he was walking away from DeepMind, adding that he needed a “break to recharge”. Less than six months later, in December 2019, he announced that he was officially leaving the AI ​​lab he helped build to join Google as vice president of AI product management and AI policy.

The full circumstances of Suleyman’s departure from DeepMind were not disclosed at the time, but it later emerged that a number of his colleagues had taken issue with his management style, accusing him of harassment and bullying. . In January 2021, DeepMind announced that it had hired a law firm to investigate its management style.

“I had a period in 2017-18 where a few colleagues complained about my management style,” Suleyman said on a podcast in January where he was interviewed by Hoffman. “You know, I really screwed up. I was very demanding and quite relentless. I think sometimes it created an environment where I had pretty unreasonable expectations of what people had to deliver and when.”

When Suleyman announced he was joining Greylock, a VC, who asked to remain anonymous due to the sensitive nature of the discussion, wondered how long he would remain a VC. “My instincts say this is temporary while he looks for the next company to start or join as a founder,” they told CNBC. “I think there’s more in the tank.”

Suleyman said that while Inflection will take up the majority of his time, he plans to continue investing with Greylock.

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83% of Indian BFSI gamers think AI should improve customer experience: report https://work-fromhomee.com/83-of-indian-bfsi-gamers-think-ai-should-improve-customer-experience-report/ Tue, 01 Mar 2022 03:40:00 +0000 https://work-fromhomee.com/83-of-indian-bfsi-gamers-think-ai-should-improve-customer-experience-report/ Artificial Intelligence (AI) is rapidly gaining traction as a go-to technology tool among banking and financial services. Around 83% of survey respondents cited improving customer experience as Indian financial services’ top business driver for implementing AI, according to a PwC-Ficci survey. The report “Uncovering the ground truth: AI in Indian financial services” […]]]>

Artificial Intelligence (AI) is rapidly gaining traction as a go-to technology tool among banking and financial services. Around 83% of survey respondents cited improving customer experience as Indian financial services’ top business driver for implementing AI, according to a PwC-Ficci survey.

The report “Uncovering the ground truth: AI in Indian financial services” also indicates that more than 80% of respondents in the banking and financial services industry say they have deployed chatbots to facilitate customer service.



Sudipta Ghosh, Partner and Leader – Data & Analytics, PwC India, said, “Maturity in the use and adoption of AI-based solutions with a deeper understanding of not only the business case, technology and data, but also security, privacy and liability risks will differentiate leaders from others.

The survey revealed that chatbots are the most deployed. Nearly 82% of respondents said they have deployed chatbots to facilitate customer service. About 65% of them have deployed fraud detection AI engines, making it the second most common use case in the FS industry, followed by 56% who have deployed virtual assistants.

Vivek Belgavi, Partner and Leader – Fintech, PwC India, said: “AI is used every day in payments, credit risk, investment recommendations and especially in the area of ​​smart digital assistants that process regular customer service requests and tasks Indian BFSI organizations looking to move up the AI ​​adoption curve can use AI to boost their revenue through increased

personalization of services and integration of intelligence in automation and digital ecosystem partnerships.

Despite the growing use of AI, concerns also remain, with nearly 60% of survey respondents citing consumer privacy and data security and endorsement of the use of AI engines as the biggest concern for the implementation of AI. Other areas of concern were the integration, operationalization, and maintenance of AI infrastructure, as well as the very distinctive and progressive skills required to succeed in AI.

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The 10 Best AI Platforms for Building Modern Apps in 2022 https://work-fromhomee.com/the-10-best-ai-platforms-for-building-modern-apps-in-2022/ Sun, 20 Feb 2022 06:43:22 +0000 https://work-fromhomee.com/the-10-best-ai-platforms-for-building-modern-apps-in-2022/ by veda-ai February 20, 2022 AI platforms provide businesses with intelligent capabilities. We discuss the best AI platforms here The AI ​​platform is a set of services that support the machine learning lifecycle. And it’s designed to work more efficiently and smarter than traditional frameworks. This includes supporting data collection and preparation as well as […]]]>

by veda-ai
February 20, 2022

AI platforms provide businesses with intelligent capabilities. We discuss the best AI platforms here

The AI ​​platform is a set of services that support the machine learning lifecycle. And it’s designed to work more efficiently and smarter than traditional frameworks. This includes supporting data collection and preparation as well as training, testing, and deploying machine learning models for large-scale applications.

Innovations and improvements in the field of artificial intelligence have produced some of the smartest solutions to problems too complex to understand. An AI platform enables businesses to achieve their maximum efficiency by providing numerous benefits. AI platforms are useful for tasks such as face detection, terrorist financing, network intrusion, etc.

So, let’s start with the list of our top AI platforms that provide businesses with intelligent capabilities:

1. Amazon AI Services: Amazon offers a long list of services in the AI ​​and cloud computing industry that can be used to not only gain better insights into their customers, but also to simplify a wide range of their regular tasks. Amazon benefits from advanced analytics and makes better decisions thanks to the artificial intelligence services of translation services, personalized recommendations, generation of predictions using machine learning, extraction of data from physical copies of documents, verifying the identity of users, etc.

2. Google Cloud AI Platform: Google also offers a suite of cloud services around AI. data storage services, management tools, are some of the best AI platforms provided by Google to streamline business. And machine learning accelerators, deep learning, natural language processing, translations, vision application programming interface video analytics, are some of the Google Cloud AI platforms . Cloud-based machine learning, spam detection, customer sentiment analysis are some of the other features of Google’s AI platforms.

3. Tensor flow: Tensor Flow is the most popular artificial intelligence software. It is a python-based numerical computing and machine learning platform that allows developers to build large-scale multi-layered neural networks. It is for everyone, from beginners to experts. The platform allows you to easily build and deploy AI-powered applications to cloud, browser, premises, iOS and Android devices. This platform supports the operating system of desktops, clusters, mobile devices, edge devices, CPUs, GPUs, and TPUs. It is useful for various tasks related to image recognition, video detection, time series, voice recognition, etc. TensorFlow enables developers, researchers, and data scientists to solve complex machine learning problems on various platforms. Deep flexibility, true portability, automatic differentiation are some of the other features of TensorFlow.

4.IBM Watson: Watson Studio provides solutions for all stages of deploying and managing machine learning models by defining project goals, preparing data, choosing the right tools, training models, and deploying. The best feature of IBM is that it learns a lot from small data. The IBM Watson platform enables businesses and organizations to automate complex machine learning processes, predict future outcomes, and optimize employee time. IBM data scientists and analysts have access to a collection of world-class tools to manage data streams, multiple projects, deep learning integration, visual recognition, natural language processing, model lifecycle automation.

5.Microsoft Azure: Microsoft Azure is a cloud-based analytics design of machine learning to simplify enterprise ML. Azure is an efficient AI-powered tool for businesses to operate globally cost-effectively. With the help of Azure ML, data scientists and developers can quickly develop, train, and easily deploy ML models on the Azure cloud using several available tools. It is one of the best platforms for building and deploying smarter machine learning models. With Microsoft Azure, organizations and businesses have access to a comprehensive collection of services, including cloud computing, IoT, migration options, virtual desktops for remote access, developer tools, security reinforced, etc.

6. H2O: H2O educates businesses on the many benefits of AI and ML by providing access to healthcare, finance, telecommunications, retail, marketing and pharmaceutical services to minimize market risk and improve further increase profits. The Auto ML feature is the best feature of H2O. It allows beginners and experts to build or train AI models. The platform supports multiple forms of data including tabular, text, image, audio, video, etc.

7. Infosys Nia: Infosys Nia platform designed to simplify the AI ​​process for businesses and enterprises. Deeper insights for better analytics and forecasting, automation capabilities, root cause analysis, easier migration, data management are the best features of Nia. It is useful for various tasks related to machine learning, deep learning, data management, NLP, etc. This allows organizations to be more productive and workers to be more efficient in performing their tasks.

8. Salesforce Einstein: Salesforce Einstein is an innovative, integrated AI service that helps Salesforce deliver smarter analytics to its customers while automating their workflow. It aims to provide better customer insights. In this platform, no need to manage models and data preparation.

9. Rain Bird: Rain Bird might be the right tool for AI-based decision-making capabilities. It is suitable for companies that operate financial agencies, fraud protection services, etc. Visual user interface, smart data import, natural language processing are some other features of Rain Bird.

10. Wipro Holmes: Wipro platform designed to improve the efficiency, speed and experience of cognitive process automation, natural language processing, self-learning, advanced analytics and predictive systems. development, networking, remote operations, virtual assistants, security and cloud operations, such as Wipro Holmes are also useful. visual computer applications, robotics and drones, digital virtual agents are some other features.

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The 10 Best AI Software Stocks to Buy and Hold in 2022 and Beyond https://work-fromhomee.com/the-10-best-ai-software-stocks-to-buy-and-hold-in-2022-and-beyond/ Fri, 18 Feb 2022 11:07:58 +0000 https://work-fromhomee.com/the-10-best-ai-software-stocks-to-buy-and-hold-in-2022-and-beyond/ by arti February 18, 2022 With the changing business landscape, AI software stocks play a crucial role in all verticals Businesses use artificial intelligence in two main ways. Many technology companies are using artificial intelligence, machine learning and analytics to make their existing operations more powerful through high-level applications including robotics, self-driving cars and virtual […]]]>

by arti
February 18, 2022

With the changing business landscape, AI software stocks play a crucial role in all verticals

Businesses use artificial intelligence in two main ways. Many technology companies are using artificial intelligence, machine learning and analytics to make their existing operations more powerful through high-level applications including robotics, self-driving cars and virtual assistants. According to reports, the global artificial intelligence market is on track to reach over $554 billion in total revenue by 2024. Countless companies stand to benefit from AI, but a handful of companies have business models specifically focused on automation. This article introduces top 10 AI software stocks that provide unique and advanced AI algorithms at fast speed and more reliable solutions at competitive rates.

Kelton Technology

Current price: $90.85

Market cap: US$8.771 billion

Kellton Tech Solutions is an information technology and outsourcing company based in Hyderabad with locations in the United States and Europe. Kellton Tech creates cutting-edge, targeted AI solutions to solve challenges that have traditionally required a lot of human intellect, ranging from machine learning to deep learning.

The happiest minds

Current Price: $1,040.00

Market capitalization: 152.767 billion US dollars

Happiest Minds To help organizations deliver immersive customer experiences and outperform the competition, combine augmented intelligence with natural language processing, image analytics, video analytics, and upcoming technologies like augmented reality and virtual reality at Happiest Minds. Happiest Minds imagines and develops the next generation of intelligent systems capable of thinking, learning, creating and making decisions in the same way as humans. It’s one of the best AI software stocks to buy and hold in 2022.

C3.ai

Current price: $22.34

Market capitalization: 2.347 billion US dollars

C3.ai is a SaaS company whose software enables enterprises to deploy large AI applications. The company’s tools help customers accelerate software development and reduce cost and risk, and they have a wide variety of applications. For example, the US Air Force uses C3 AI Readiness to predict aircraft system failures, identify spare parts, and find new ways to increase mission capability.

Alteryx

Current price: $58.78

Market cap: US$3.976 billion

Alteryz is a provider of data analytics software that empowers data workers to solve problems with a wide range of analytics and data science tools. Its Alteryx Intelligence suite, one of many products, offers machine learning capabilities, including automated modeling and natural language processing to build models. It’s one of the best AI software stocks to buy and hold in 2022.

DocuSign

Current price: $115.00

Market cap: US$22.756 billion

DocuSign is an AI-based leader in digital signature software, has made significant breakthroughs in machine learning in recent years. In 2020, the company acquired Seal Software, an enterprise contract analytics company that uses machine learning to organize and identify risks and opportunities in contracts. For years, DocuSign has developed machine learning tools such as DocuSign Insight to facilitate contract analysis through natural language processing.

Applied materials

Current price: $136.47

Market Cap: US$121.184 billion

Applied Materials, Inc. provides manufacturing equipment, services and software to the semiconductor, display and related industries. It operates through three segments: Semiconductor Systems, Global Applied Services and Display and Adjacent Markets. The Semiconductor Systems segment develops, manufactures and sells various manufacturing equipment used to manufacture semiconductor chips or integrated circuits. It’s one of the best AI software stocks to buy and hold in 2022.

Zoom Info Technologies

Current price: $53.30

Market capitalization: 22.682 billion US dollars

ZoomInfo Technologies Inc., through its subsidiaries, provides a go-to-market intelligence and engagement platform for sales and marketing teams in the United States and internationally. The company’s cloud-based platform provides organizational and professional insights to help users identify target customers and decision makers, gain continuously updated predictive leads, and more.

Accenture plc

Current price: $322.91

Market Cap: US$204.079 billion

Accenture plc, a professional services firm, provides strategy and consulting, interactive, technology and operational services worldwide. The Company offers application services, including agile transformation, DevOps, application modernization, enterprise architecture, software and quality engineering, data management, intelligent automation includes robotic process automation, natural language processing, etc. It’s one of the best AI software stocks to buy and hold in 2022.

NICE Ltd.

Current price: $239.25

Market Cap: US$15.102 billion

NICE is a leading provider of software applications that manage call center operations and customer interactions. NICE’s artificial intelligence and machine learning technology also streamlines fraud detection and regulatory compliance. The company’s AI helps companies categorize and analyze voice communications, leveraging the power of data analytics to improve business interactions with contact center teams.

Epam systems

Current price: $440.99

Market cap: $25,013

EPAM Systems, Inc. provides digital platform engineering and software development services in North America, Europe, Russia, Belarus, Kazakhstan, Ukraine, Georgia, East Asia , Southeast Asia and Australia. The company offers engineering services, including requirements analysis and platform selection, customization, cross-platform migration, implementation and integration. It’s one of the best AI software stocks to buy and hold in 2022.

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Powered by the Cloud: The New Era of Market Data https://work-fromhomee.com/powered-by-the-cloud-the-new-era-of-market-data/ Mon, 14 Feb 2022 12:12:10 +0000 https://work-fromhomee.com/powered-by-the-cloud-the-new-era-of-market-data/ By Russell Blinch, for CME Group IN ONE LOOK From agricultural technology to hedge funds, more and more market participants are looking for instant market data exchanges via the cloud The cloud storage market is expected to grow 25% per year to reach over $150 billion per year by 2026 A farmer in a remote […]]]>

By Russell Blinch, for CME Group

IN ONE LOOK

  • From agricultural technology to hedge funds, more and more market participants are looking for instant market data exchanges via the cloud
  • The cloud storage market is expected to grow 25% per year to reach over $150 billion per year by 2026

A farmer in a remote corner of Brazil wondering about this year’s harvest might step out to study the clouds, all before making several calls for a static snapshot of opaque grain markets.

But if he works with the Brazilian start-up Grao Diretohe can reach for his smartphone and consult something better – the digital cloud where a wealth of market information awaits him, the kind of data that only a few years ago was unimaginable for producers and sellers.

This is the kind of requested data whose availability has increased exponentially in recent years.

Founded in 2017, Grao Direto has developed a cloud-based application that connects grain buyers and sellers while providing a real-time view of physical markets, an era-changer from when producers n only had a limited view of vital market information. In 2020, they partnered with CME Group to access market data in the cloud to support their business.

Data customers need flexibility

From commodity traders to equity investors and in the crypto world, investors are increasingly turning to cloud-based technology to access vital market information quickly and cost-effectively.

But according to some of its biggest proponents, the trend towards the cloud may still be in its infancy, as demand grows for ever more complex information flows.

“What we are seeing is a wide range of customers looking for exchanges to provide more flexible ways to access and interact with underlying data through analytics solutions,” Trey Berre, Global Head of CME Data Services, told a recent panel.

CME Group was the first derivatives exchange to offer a real-time, cloud-based market data product with the launch of CME Smart Flow in 2019. Customers got access to its real-time data feed running on Google Cloud Platform. In 2020, CME announced that customers could also tap delayed data via cloud. More recently at the end of 2021, CME announced a transformative partnership with Google Cloud to accelerate its transition to the cloud and transform the way global derivatives markets work through technology.

Founders of Grao Direto (LR) Alexandre Borges, Andrade Marques and Frederico Vitor

Today, CME Group has more than 25 partnerships with companies around the world to deliver data through the cloud. Clients range from trading companies to hedge funds, proprietary trading firms, retail traders and third-party providers.

Berre, speaking at a recent Coalition Greenwich eventsaid CME is dedicated to exploring how to make market data more customizable, while making information easier to access.

“Our cloud investments can really align with our goal and strategy to make it easier to do business with CME Group for our customers,” helping customers “grow and innovate.”

Today, some 93% of exchanges, trading systems and data providers offer cloud-based products, according to a recent study survey by Coalition Greenwich, commissioned by Google Cloud.

The trend is led by buy-side companies, with nine in 10 connecting to the cloud for market data, according to the survey. Some 67% of concerns on the sell side have turned to the digital skies, and 88% intend to consume even more data.

According to a report by Market data forecast.

Demand transformed by the pandemic

Cloud computing has been growing for a few years now, but the pandemic has introduced a new urgency due to the need for employees to work from home, making the office a geographically dispersed challenge.

“You don’t need to be near your servers. You don’t need to be close to your market data. These things can actually be accessed by you through the digital world and the physical doesn’t matter as much anymore,” Ulku Rowe, CTO, Financial Services, Google Cloud, told the Greenwich panel.

Ralph van de Klundert, co-head of data at Transtrend, an experienced systematic investment manager, said this opens up opportunities for business startups, which have long struggled to deliver data to clients in a way that’s both manageable and profitable.

Prior to the launch of the CME cloud product, the company created a direct data flow solution with CME Group. “It was expensive because there was a huge amount of data streaming in our office. It wasn’t scalable, it wasn’t the right solution, maybe not the right time.

But now Transtrend has found the right solution by working with CME Group Data Services, with Google Cloud managing the digital infrastructure. “I think it’s very scalable, it’s very usable,” he said. “It’s pay-as-you-go and it’s very unique. This solution can replace our existing data providers in the future for our use of CME data. »

Beyond human comprehension?

The race to the cloud with its terabytes of data can be mind-boggling considering how the need for ever more intelligence has evolved over time. Market data has moved from blackboards on trading floor floors to huge data centers. Information analysis programs must also keep pace.

“This data that used to sit on spreadsheets is now almost beyond human comprehension,” Google Cloud’s Rowe said during the Coalition Greenwich panel. She said that for clients to manage the massive flow of information, they need better analytics. The next level is artificial intelligence, the so-called AI tools, to help customers gather the information they need to deal with the information tsunami.

CME Group’s Berre said demand for better understanding of data is skyrocketing. “Where we see most of the demand today is on the buyer side, or with some of our smaller accessory businesses, or even increasingly sophisticated retail marketers, looking for l opportunity to execute individual strategies for more accurate and deeper intelligence in the underlying data.

Alexandre Borges, CEO of Grao Direto, was impressed with the advances in innovation already made by cloud technology, which he says helped make small startups like his early on possible. His company was formed by three childhood friends and just $10,000 in start-up capital. Now its mobile app already has around 200,000 downloads, it employs over 75 people, has a few million in fundraising with plans to continue to grow exponentially supported by cloud technology.

“We were able to access the servers and infrastructure that Google Cloud offered because it was cheap,” he said. “Imagine, being in Brazil, we had access to state-of-the-art infrastructure.”

Read more articles like this on OpenMarkets

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Healthcare Artificial Intelligence Market to See Massive Growth by 2030 – Cleveland Sports Zone https://work-fromhomee.com/healthcare-artificial-intelligence-market-to-see-massive-growth-by-2030-cleveland-sports-zone/ Sun, 06 Feb 2022 16:24:46 +0000 https://work-fromhomee.com/healthcare-artificial-intelligence-market-to-see-massive-growth-by-2030-cleveland-sports-zone/ JCMR Newly Announced Global Health Artificial Intelligence The 2021 market report is an objective and in-depth study of the current state aimed at the main drivers, market strategies and growth of key players. The Artificial Health Intelligence study also involves the significant market achievements, research and development, new product launch, product responses, and regional growth […]]]>

JCMR Newly Announced Global Health Artificial Intelligence The 2021 market report is an objective and in-depth study of the current state aimed at the main drivers, market strategies and growth of key players. The Artificial Health Intelligence study also involves the significant market achievements, research and development, new product launch, product responses, and regional growth of key competitors operating in the market globally. universal and local. The structured analysis contains a graphical representation as well as a schematic representation of the Healthcare Artificial Intelligence Market with its specific geographical regions including following key players Welltok, APIXIO Inc, Enlitic Inc, Sensely, iCarbonX, Sophia Genetics, Zebra Medical Vision Ltd, Modernizing Medicine, Lifegraph, IBM (Watson Health ), Cyrcadia Health Inc, AiCure, Insilico Medicine Inc, Pathway Genomics Corporation, Atomwise Inc, Butterfly Network Inc.

[Due to the pandemic, we have included a special section on the Impact of COVID 19 on the @ Market which would mention How the Covid-19 is Affecting the Global Healthcare Artificial Intelligence Market

 

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Wrk gets $43 million to help companies automate common workflows https://work-fromhomee.com/wrk-gets-43-million-to-help-companies-automate-common-workflows/ Wed, 02 Feb 2022 16:00:00 +0000 https://work-fromhomee.com/wrk-gets-43-million-to-help-companies-automate-common-workflows/ A lasting feature of the pandemic will be the increased deployment of automation in the enterprise. A 2020 survey found that 66% of organizations were testing solutions to automate at least one business process, up from 57% in 2018. Additionally, McKinsey estimates that in around 60% of occupations, at least a third of daily activities […]]]>

A lasting feature of the pandemic will be the increased deployment of automation in the enterprise. A 2020 survey found that 66% of organizations were testing solutions to automate at least one business process, up from 57% in 2018. Additionally, McKinsey estimates that in around 60% of occupations, at least a third of daily activities could be automated, leveraging made from a combination of artificial intelligence, machine learning, natural language processing and other technologies.

One of the most popular automation technologies is robotic process automation (RPA), a software solution that allows customers to create, deploy, and manage robots that mimic certain human actions. RPA can eliminate some of the manual tasks in workflows and office processes, not to mention specific tasks such as payroll, tax compliance, governance, and reporting.

Highlighting adoption, Gartner waits spending on RPA software – a market value $1.6 billion in 2020 – for nearly 20% growth in 2021. Unsurprisingly, a growing number of business process automation services and applications are vying for dominance. RPA provider Blue Prism has raised over $120 million, Kryon $40 million, and FortressIQ $30 million. Last July, UiPath raised $750 million, two years after its main rival, Automation Anywhere, raised $290 million.

But the current state of the automation segment hasn’t deterred newcomers like Montreal, Canada-based Wrk from throwing their hats in the ring. Jobwhich offers a range of tools including bots, API and RPA integrations to automate business tasks, today announced that it has raised $43.56 million (C$55 million) in funding rounds from seed, Series A and debt from investors such as Real Ventures, Desjardins Capital, Sharon Rowlands, CEO of Web.com, and other individual angels.

Workflow Automation

Founded by CEO Mohannad-El Barachi and COO David Li in 2019, Wrk combines automation with an expert human workforce and app integrations. The company’s “building block” platform is designed to allow users to create workflows with a mix of technologies, including preconfigured bots.

Barachi – who has a bachelor’s degree in computer science – previously co-launched digital marketing platform SweetIQ before co-founding Wrk. Li previously managed strategy and execution operations at SweetIQ and led digital transformation at Yellow Pages.

“One of the biggest challenges in the wider automation space is that, despite the sophistication of many automation solutions on the market, certain gaps still exist that make it nearly impossible to guarantee end-to-end solutions. for their customers. This, coupled with a plethora of complex implementation processes and high upfront costs, has long kept many people out of automation,” Barachi told VentureBeat via email.” We created Wrk to simplify the process of adopting automation with our fully customizable Wrkflows.”

Wrk partners with clients to fine-tune automations, only charging for workflows once they’re complete. Human workers perform tasks that Wrk’s robots cannot complete themselves, using a browser-based workstation to gain temporary access to necessary systems. Wrk performs QA testing to ensure that workflows don’t break, which can happen whenever the underlying systems change.

“As Wrk is a hybrid delivery engine, it uses human-generated data to generate the datasets needed to power machine learning-based RPAs, bots, and automated processes. Every day, Wrk generates tens of millions of human interactions through its community of human workers which are then used to create automated Wrk actions,” Barachi explained. “Wrk transforms end-to-end processes into ‘Wrkflows’ which consist of individualized units of Wrk, each with a clear input and output. By moving operations from unstructured manual processes to automated workflows, organizations can move from fixed costs to variable costs, while gathering valuable unit data on delivery cost and the steps needed to train and refine an automation. sophisticated.

Contract workers

Not all tech vendors treat contract workers well. Unfortunately, the entrepreneurs who helped develop a major AI dataset, ImageNet, earned a median wage of $2 an hour, with only 4% earning more than the US federal minimum wage. Two years ago, the Rev transcription service faced a huge backlash when it reduced minimum fees for its transcriptionists from $0.45 to $0.30 per word transcribed.

Wrk charges service fees to workers and sets the price of jobs based on the time it takes to complete them, their complexity, the level of skill required and their degree of demand. But the company says its pricing algorithms are “built with a fundamental pricing structure that is informed by [a worker’s] living wage in the region. For example, if workers perform the most basic tasks on the rig for an entire work week, they would earn no less than one week’s minimum wage for their region.

“It is important to us that workers are paid fairly for the work they do with us and earn enough to lead a healthy life in their region,” the company writes. “Payments are made on a monthly basis – with a minimum of $50 – and sent to [a worker’s] Account. Yes [they] do not earn the minimum of 50 USD in any given month, [their] the balance will simply be added to the following month.

An expanding market

The benefits of automation can be significant. According to According to a Salesforce report, 73% of IT managers say employees are saving between 10% and 50% of the time they previously spent on manual tasks through automation. At the same time, in an ADP survey, on half of companies agree that automating business processes minimizes human error in the workflow.

“We’ve found that our mission to simplify the way work gets done has really resonated over the past couple of years, as more and more organizations see the value in adopting a flexible form of automation that empowers them. allows you to accomplish more with limited resources and focus on the tasks, projects and campaigns that matter most in a remote or hybrid work environment,” said Barachi. “Furthermore, as organizations continue to Adapting to a more competitive hiring market, the type of work an employer can offer current and future employees is critical when trying to attract and retain top talent.”

But roadblocks often stand in the way. K2, a process automation software provider recently acquired by Nintex, reports that enterprises consider technical complexity and cost to be among the top adoption challenges to realizing the benefits of automation. The frames too see investing in retraining and upskilling workers as an obstacle – and increasingly, an urgent priority.

Despite this, Wrk, which has 60 employees, says it has expanded its client list to a “diverse” set of brands in North America and Europe, including Cision, Gannett, Silicon Valley Bank and the nonprofit Penny Appeal. The company plans to spend proceeds from recent funding rounds to grow its platform and hire engineering talent.

“Given the unique hybrid and innovative nature of Wrk, we fill a gap in the automation market for which there is currently no other solution,” said Barachi. The combination of the most efficient automation technology with the immeasurable added value of human cognition means that we are truly operating in a unique space right now. Our platform exists to redefine the way work gets done and we look forward to leveraging this round of funding to continue this exciting journey.

VentureBeat’s mission is to be a digital public square for technical decision makers to learn about transformative enterprise technology and conduct transactions. Learn more

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Amazon Lex, chatbots with conversational AI, and Genesys®, global cloud leader in customer experience orchestration https://work-fromhomee.com/amazon-lex-chatbots-with-conversational-ai-and-genesys-global-cloud-leader-in-customer-experience-orchestration/ Tue, 01 Feb 2022 15:09:00 +0000 https://work-fromhomee.com/amazon-lex-chatbots-with-conversational-ai-and-genesys-global-cloud-leader-in-customer-experience-orchestration/ Working remotely or on-site, defi team members deliver an AI-powered digital experience to lenders and their borrowers WESTLAKE, Texas, February 01, 2022–(BUSINESS WIRE)–defi SOLUTIONS is pleased to announce the implementation of both Amazon-Lex and Genesys Cloud CX™ to empower its business process outsourcing team that represents lenders across the United States and Canada. This press […]]]>

Working remotely or on-site, defi team members deliver an AI-powered digital experience to lenders and their borrowers

WESTLAKE, Texas, February 01, 2022–(BUSINESS WIRE)–defi SOLUTIONS is pleased to announce the implementation of both Amazon-Lex and Genesys Cloud CX™ to empower its business process outsourcing team that represents lenders across the United States and Canada.

This press release is multimedia. View the full press release here: https://www.businesswire.com/news/home/20220201005230/en/

Steve Bissett, Vice President of Client Services, defi SOLUTIONS (Photo: Business Wire)

The Genesys Cloud CX platform is an all-in-one composable CCaaS and employee experience solution and Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test and deploy conversational interfaces.

Using both cloud platforms, defi BPO team members can deliver a modern customer experience with digital interactions and intelligent virtual assistants, whether they are working remotely from the US or at defi BPO premises. Amherst, New York.

With the addition of Amazon Lex and Genesys Cloud CX, the defi BPO technology stack is:

  • OMNI CHANNEL for all customer interactions through a single hub

  • AI ENABLED for current and future innovation

  • INTELLIGENT VIRTUAL ASSISTANTS for all or part of a customer interaction

defi BPO provides lenders and their borrowers with improved response times and the digital interaction that borrowers demand through:

  • Powered by AI messaging that simulates human conversation through voice or text commands

  • natural language processing (NLP) with interactive voice response (IVR) for hands-free menu responses

  • IVR Payments who are accepted anytime, anywhere without interaction with the agent

  • Virtual assistants that automate and personalize the customer experience

  • Instant access to customer account information to inform and improve conversation

  • Click-to-call integrations that streamline agent interaction

  • Callback for IVR provides a callback option while hold caller’s position in the queue

“We continually seek to improve our processes and services. These cloud technologies from Amazon and Genesys give us the tools we need to satisfy our lenders and their borrowers today and in the future. said Steve Bissett, Vice President of Client Services, defi SOLUTIONS.

About SOLUTIONS challenge

defi SOLUTIONS offers lenders a complete end-to-end solution for the loan or lease lifecycle. Partnering with captives, banks, credit unions and finance companies, defi’s market-leading solution helps lenders exceed borrower expectations. From digital engagement to the full lending process, defi sets new standards for flexibility, configurability and scalability in set-ups and service (by your experts or ours). For more information, visit www.defisolutions.com.

See the source version on businesswire.com: https://www.businesswire.com/news/home/20220201005230/en/

contacts

charlie lewis
Director, Communications
(682) 717-8481
clewis@defisolutions.com

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