#Chatbot Developers Hong Kong

[mariacallous]

Earlier this month, several prominent outlets carried news that artificial intelligence will not pose a danger to humanity. The source of this reassuring news? A bunch of humanoid robot heads connected to simple chatbots.

The news stories sprang from a panel at a United Nations conference in Geneva called AI for Good, where several humanoids appeared alongside their creators. Reporters were invited to ask questions to the robots, which included Sophia, a machine made by Hanson Robotics that has gained notoriety for appearing on talk shows and even, bizarrely, gaining legal status as a person in Saudi Arabia.

The questions included whether AI would destroy humanity or steal jobs. Their replies were made possible by chatbot technology, somewhat similar to that which powers ChatGPT. But despite the well-known limitations of such bots, the robots’ replies were reported as if they were the meaningful opinions of autonomous, intelligent entities.

Why did this happen? Robots that can visually mimic human expressions trigger an emotional response in onlookers because we are so primed to pick up on such cues. But allowing what is nothing more than advanced puppetry to disguise the limitations of current AI can confuse people trying to make sense of the technology or of recent concerns about problems it may cause. I was invited to the Geneva conference, and when I saw Sophia and other robots listed as “speakers,” I lost interest.

It’s frustrating to see such nonsense at a time when more trustworthy experts are warning about current and future risks posed by AI. Machine learning algorithms are already exacerbating social biases, spewing disinformation, and increasing the power of some of the world’s biggest corporations and governments. Leading AI experts worry that the pace of progress may produce algorithms that are difficult to control in a matter of years.

Hanson Robotics, the company that makes Sophia and other lifelike robots, is impressively adept at building machines that mimic human expressions. Several years ago, I visited the company’s headquarters in Hong Kong and met with founder David Hanson, who previously worked at Disney, over breakfast. The company’s lab was like something from Westworld or Blade Runner, with unplugged robots gazing sadly into the middle distance, shriveled faces flopped on shelves, and prototypes stuttering the same words over and over in an infinite loop.

Hanson and I talked about the idea of adding real intelligence to these evocative machines. Ben Goertzel, a well-known AI researcher and the CEO of SingularityNET, leads an effort to apply advances in machine learning to the software inside Hanson’s robots that allows them to respond to human speech.

The AI behind Sophia can sometimes provide passable responses, but the technology isn’t nearly as advanced as a system like GPT-4, which powers the most advanced version of ChatGPT and cost more than $100 million to create. And of course even ChatGPT and other cutting-edge AI programs cannot sensibly answer questions about the future of AI. It may be best to think of them as preternaturally knowledgeable and gifted mimics that, although capable of surprisingly sophisticated reasoning, are deeply flawed and have only a limited “knowledge” of the world.

Sophia and company’s misleading “interviews” in Geneva are a reminder of how anthropomorphizing AI systems can lead us astray. The history of AI is littered with examples of humans overextrapolating from new advances in the field.

In 1958, at the dawn of artificial intelligence, The New York Times wrote about one of the first machine learning systems, a crude artificial neural network developed for the US Navy by Frank Rosenblatt, a Cornell psychologist. “The Navy revealed the embryo of an electronic computer today that it expects will be able to walk, talk, see, write, reproduce itself and be conscious of its existence,” the Times reported—a bold statement about a circuit capable of learning to spot patterns in 400 pixels.

If you look back at the coverage of IBM’s chess-playing Deep Blue, DeepMind’s champion Go player AlphaGo, and many of the past decade’s leaps in deep learning—which are directly descended from Rosenblatt’s machine—you’ll see plenty of the same: people taking each advance as if it were a sign of some deeper, more humanlike intelligence.

That’s not to say that these projects—or even the creation of Sophia—were not remarkable feats, or potentially steps toward more intelligent machines. But being clear-eyed about the capabilities of AI systems is important when it comes to gauging progress of this powerful technology. To make sense of AI advances, the least we can do is stop asking animatronic puppets silly questions.

[allbrieflynoted]

Microsoft turbocharges the learning potential of Hong Kong primary school students with Azure OpenAI Service

Through the integration of AI technology in the classroom, Microsoft Hong Kong is enhancing the learning and teaching experience

Hong Kong, 29 July 2024 – Microsoft Hong Kong joins hands with its Global Training Partner Gamenoodlesoup Ltd to empower a local primary school, The Education University of Hong Kong Jockey Club Primary School (EdUJCPS), one of the Microsoft Showcase Schools, to reimagine students’ STEAM and Mathematics learning through a ship model building project and AI-enabled exercise application to make teaching more sustainable.

With Azure OpenAI Service (AOAI) GPT-4o, Microsoft offers a trusted and reliable generative AI platform to tailor educational materials for EdUJCPS to enable a safe, seamless teaching and learning environment for teachers and students. The collaboration encompasses STEAM learning, with focus on renewable energy and model design; Maths using generative AI to generate personalized maths exercise questions; and an AI teaching assistant, assisting teachers to help students overcome academic challenges.

Philip K Y Law, Vice Principal of EdUJCPS shared, “The challenge of integrating generative AI for K-12 education lies in embedding it seamlessly into the lesson structure and syllabus. By adopting a whole-school approach and providing trainings to staff, teachers and students, we aim to foster an AI-powered learning educational setting, where teachers can prioritize teaching strategy and nurturing students through engaging and inspiring lessons. And AI will take care of the practical tasks, such as assessments, personalized learning suggestions, and identifying areas for improvement. This allocation of duties empowers teachers to better meet students’ needs, enhancing teaching quality and resulting a more impactful educational experience.”

Tailored learning applications to reimagine lessons’ structure

At this early stage, only selected P.5-P.6 students from EdUJCPS have participated in this innovative program as the pioneer to test on the learning effectiveness and will be extended to the full grade in the next school year.

In STEAM classes, students engaged with the generative AI chatbots – to explore ideation in building a “Sustainable Ship”. These chatbots allow students to discover the fascinating realm of renewable energies and ship designs for their projects, as well as to pursue on their specific interests. Students could also use image generation functionality, through DALL-E 3 with Azure OpenAI Service, to generate visuals of the boat they wanted to build through different prompts. With these AI tools, students’ questions and queries can be quickly addressed, accompanied by insightful replies and allow continuous dialogue to deep dive into the useful findings. This also helps develop students’ AI literacy scientific inquiry skills, and allows them to acquire knowledge more effectively, nurture critical thinking and spark creativity. Meanwhile, the teachers could observe how students communicate with the chatbot in real-time and whether they could obtain knowledge relevant to the topic, in a full dialogue format

For the “Maths AI Learning Partner” that is integrated into Maths lessons: Teachers can instruct the tool to create tailored maths questions for individual students that follow the same syllabus being worked on in class. The tool evaluates student responses and delivers immediate feedback and assessments to both students and educators. This allows teachers to measure student comprehension via their methodology and responses, and pinpoint areas of strength or need for additional practice, allowing them to tailor their instructional approach to each student’s needs. AI acts as a teaching assistant here, offering the capability to monitor and assess every student’s learning progress in real-time in class, which can otherwise be difficult to do with limited time in class. Additionally, this also helps build up student’s maths knowledge and personalized learning experience through customized exercises and step by step guidance provided by generative AI.

In fact, 65% and 60% of students think they can obtain useful recommendations for their Maths learning and get quicker feedback from the tool on their homework respectively.

Anderson Yu, Founder of Gamenoodlesoup, said, “We believe PLAY is one of the most powerful tools in learning, where our digital transformation and educational goals is to infuse fun and innovation into traditional teaching and learning that meets students’ needs, while a secure and safe generative AI infrastructure is a fundamental of it all. By leveraging Azure OpenAI Service, our solutions offer a safe and reliable platform for educators and students, it is exciting to see how educators and students are integrating the latest technology in their teaching and learning journey and enhance the synergy throughout the K-12 education landscape.”

Fred Sheu, National Technology Officer of Microsoft Hong Kong, said, “We believe that creativity, critical thinking and the ability to leverage technology are the essential qualities for our future leaders. As a leading technology provider, we are committed to expand access of AI tools to the education sector that empowers personalized learning and equip students with in-demand skillsets through our trusted and reliable generative AI platform with secure foundations and preparing them for the future. By harnessing the potential of Microsoft’s Azure OpenAI Service, we look forward to bringing adaptive and hands-on learning experience for next generation to be AI-ready in this era.”

[news37]

Hong Kong Metropolitan University (HKMU) is integrating artificial intelligence (AI) to enhance learning, streamline operations, and advance research across a range of disciplines. The university's growing student population, with a mix of part-time and full-time learners, required a secure, and scalable infrastructure. Initially, it relied on cloud-based services, which was becoming costly and difficult to manage for AI initiatives. HKMU’s director of information technology, Simon Cheung King Sing told iTnews Asia the university required computing and storage resources for AI projects to run complex, data-heavy AI applications, including smart chatbots, natural language processing, and research in smart city development. After evaluating multiple vendors, the university has deployed Lenovo’s ThinkSystem SR670 V2 servers on campus, said Cheung, with additional support to address technical issues for the university. Within months of deployment, HKMU launched a library chatbot powered by OpenAI’s GPT-4, enabling students to access information on library policies, opening hours, and entitlements to resources. The university's Knowledge AI Chatbot for the library has seen a 38 percent reduction in response time, while the number of questions handled increased by 128 percent. - Dr. Simon Cheung King Sing  - Director of Information Technology, Hong Kong Metropolitan University Notably, 77 percent of inquiries were resolved outside office hours, reducing manpower requirements, and incorrect responses decreased by 74 percent, ensuring accurate support for students, he added. Transforms education and research HKMU utilises Lenovo’s AI solutions across three areas, including teaching and learning, administration, and research. HKMU’s assistant director of information technology, Henry Lin, said for teaching, the university has deployed ChatGPT to support teaching analytics and make AI literacy accessible to students. In administration, AI-powered chatbots handle tasks of IT services, library processes, and admissions, said Lin. The plan is to develop an AI-powered tutoring assistant to provide students with 24 by 7 course support, enhancing learning and student satisfaction. Lin mentioned that HKMU’s School of Science and Technology is leveraging AI to support research in machine learning, analytics, and smart city initiatives. The university is developing a Centralised AI Hub that integrates on-premises high-performance computing (HPC) servers, cloud-based AI packages, high-speed networks, and data pools to create a unified AI environment, he added. This hub will enable researchers to conduct complex simulations and develop AI models, offering a platform for advancing research capabilities. Lenovo Infrastructure Solutions Group’s managing director and regional manager, CAP & ANZ, Kumar Mitra, said the university uses the ThinkSystem SR670 V2 as it offers high GPU performance for AI, machine learning, and deep learning workloads. The system also includes a natural liquid cooling system, optimising data center efficiency without high operational costs, said Mitra. He added that AI projects are inherently complex and touch parts of an organisation’s infrastructure, including data quality and sources. This complexity, combined with the iterative nature of AI model development, made on-premises deployment favourable to using public cloud services. - Kumar Mitra, Managing Director and Regional General Manager, CAP & ANZ, Lenovo Infrastructure Solutions Group On-premises deployment helps address concerns about data privacy and security while reducing the time and cost implications of frequent model updates. Lenovo offers a flexible consumption-based model for AI infrastructure, allowing HKMU to scale based on actual usage, which helps avoid over-provisioning and unnecessary expenses, said Mitra. Future outlook HKMU is utilising AI-powered learning analytics to develop large databases that enhance understanding and support of student learning. According to HKMU’s Cheung, the system can intelligently compare student behaviours with larger datasets to offer insights on how to enhance success. On the administrative side, the university is leveraging management analytics to analyse financial and operational data for informed decision-making, he added. It is developing an AI-powered assistant that leverages co-pilot technology, large language models (LLMs), service APIs, and AI agents to create a unified user interface. This interface will streamline and optimise the management of the university’s daily operations, improving efficiency across various administrative tasks. HKMU’s Lin said the university is setting up Virtual AI Labs using Docker technology and AI models, providing students with a virtual environment. This will help experiment with the latest AI tools, offering hands-on learning opportunities to explore cutting-edge technologies flexibly and interactively. He added that the university provides researchers with pre-built AI toolkits, including sentiment AI, speech AI, vision AI, and knowledge AI. These toolkits, accompanied by practical use cases and examples, will support the development of projects. As HKMU looks ahead, it aims to expand AI initiatives, exploring new applications that can drive innovation in teaching, administration, and research.

[asiabchongkong]

How Technology Enhances Company Formation Services in Hong Kong

Technology has revolutionized the way businesses operate and interact with their customers. This transformation extends to company formation service in Hong Kong, where innovative technological solutions are enhancing efficiency, accessibility, and user experience. Here’s how technology is reshaping company formation services in Hong Kong:

1.Technology has enabled the development of online platforms that streamline the company formation process in Hong Kong. Entrepreneurs can now complete registration forms, upload documents, and track the progress of their applications conveniently from anywhere with an internet connection. These platforms eliminate the need for physical paperwork and expedite the incorporation process.

2. Digital signatures and authentication mechanisms have replaced traditional pen-and-paper signatures in Hong Kong company formation services. Electronic signatures offer a secure and legally recognized method for signing documents, reducing the time and resources required for document handling and verification.

3. Incorporation service providers leverage technology to provide real-time updates and notifications to clients regarding the status of their applications. Through email alerts or mobile notifications, entrepreneurs stay informed about any changes, requests for additional information, or milestones reached in the incorporation process, enhancing transparency and communication.

4. Advanced document management and storage solutions ensure the security and accessibility of important incorporation documents. Cloud-based platforms allow for centralized storage, easy retrieval, and secure sharing of documents among stakeholders, reducing the risk of loss or misplacement of critical paperwork.

5. Technology facilitates compliance automation and monitoring, ensuring that businesses adhere to regulatory requirements throughout the incorporation process and beyond. Automated reminders for filing deadlines, compliance checks, and alerts for regulatory changes help businesses stay compliant and avoid penalties.

6. Incorporation service providers harness the power of artificial intelligence (AI) and machine learning algorithms to analyze data, identify patterns, and optimize processes. AI-powered chatbots provide instant assistance to clients, answering queries, guiding them through the incorporation process, and offering personalized recommendations.

7. Secure payment gateways enable seamless and secure transactions for company formation services. Entrepreneurs can make payments for government fees, service charges, and other expenses online, using encrypted payment channels that protect sensitive financial information.

8. Mobile applications offer on-the-go access to company formation services, allowing entrepreneurs to manage their applications and communicate with service providers conveniently from their smartphones or tablets. Mobile apps provide flexibility and accessibility, catering to the needs of busy entrepreneurs.

In conclusion, technology has transformed company formation services in Hong Kong, enhancing efficiency, accessibility, and user experience. By leveraging online platforms, electronic signatures, real-time updates, document management solutions, compliance automation, AI-powered assistance, secure payment gateways, and mobile applications, incorporation service providers deliver seamless and streamlined experiences to entrepreneurs. These technological advancements not only expedite the incorporation process but also improve transparency, communication, and compliance, empowering businesses to thrive in the dynamic business landscape of Hong Kong.

[presssection]

“Balancing Justice and Technology: Can AI Ensure a Fair and Speedy Trial in the Judicial System?”

Artificial Intelligence (AI) has permeated various sectors, including the judicial system, promising increased efficiency and accuracy. The use of AI in the legal domain raises important questions about the potential benefits and challenges it presents.

AI can play a significant role in case management and analysis, assisting legal professionals with complex tasks. AI-powered algorithms can quickly analyze vast amounts of legal data, identify patterns, and extract relevant information. This can help streamline the legal process, reduce administrative burdens, and enable lawyers to focus on critical aspects of a case. By automating time-consuming tasks, AI can potentially expedite the trial process, leading to faster resolutions.

Another area where AI has been applied is predictive analytics, which aims to assess the likelihood of recidivism and assist in sentencing decisions. AI algorithms analyze historical data to identify patterns and factors that may contribute to an individual's propensity to reoffend. However, there are concerns regarding the fairness and transparency of such systems. Bias in training data and potential discrimination against certain demographics raise ethical questions that need to be carefully addressed.

AI-powered tools can significantly enhance legal research by providing access to vast databases, statutory law, and case precedents. Natural Language Processing (NLP) algorithms can quickly analyze and summarize legal documents, saving time for legal professionals. By automating research, AI can assist in building stronger legal arguments and ensuring accurate interpretation of the law. However, human oversight is crucial to prevent potential biases and ensure the proper application of legal principles.

AI has the potential to improve access to justice, particularly for those who cannot afford legal representation. Chatbots and virtual assistants can provide preliminary legal advice, assist in filling out forms, and guide individuals through legal processes. Additionally, AI-powered language translation tools can bridge language barriers, ensuring that everyone can understand and participate in legal proceedings. By increasing access to legal information and services, AI can help level the playing field and enhance fairness in the judicial system.

While AI offers promising possibilities, it is crucial to address ethical considerations and ensure human oversight in the judicial system. Transparency and explainability of AI algorithms are vital to maintain public trust. Legal professionals must critically evaluate the decisions made by AI systems and exercise their judgment to avoid undue reliance on technology. Ensuring diversity and inclusivity in the development and deployment of AI systems can help mitigate biases and promote fairness.

The use of AI in the judicial system has the potential to enhance efficiency, access to justice, and accuracy. However, it is important to strike a balance between technological advancements and the preservation of fundamental legal principles. While AI can assist in case management, legal research, and access to justice, it should not replace human judgment and ethical considerations. Human oversight, transparency, and addressing biases are essential to ensure that AI supports a fair and speedy trial. By leveraging the benefits of AI while upholding core principles, we can strive for a judicial system that combines the strengths of technology with the wisdom of human judgment, ultimately delivering justice for all.

Asia Rahman Khan Lodhi  [Consul Press at the Consulate General of Pakistan, Hong Kong (SAR)]

[wikiuntamed]

Top 5 @Wikipedia pages from a year ago: Wednesday, 15th March 2023

Welcome, καλωσόρισμα (kalosórisma), bienvenido, üdvözöljük 🤗 What were the top pages visited on @Wikipedia (15th March 2023) 🏆🌟🔥?

1️⃣: Everything Everywhere All at Once "Everything Everywhere All at Once is a 2022 American absurdist comedy-drama film written and directed by Daniel Kwan and Daniel Scheinert, who produced it with Anthony and Joe Russo and Jonathan Wang. The film incorporates elements from a number of genres and film media, including surreal comedy,..."

2️⃣: Brendan Fraser "Brendan James Fraser ( FRAY-zər; born December 3, 1968) is a Canadian-American actor. Fraser had his breakthrough in 1992 with the comedy Encino Man and the drama School Ties. He gained further prominence for his starring roles in the comedies With Honors (1994) and George of the Jungle (1997) and..."

Image licensed under CC BY 2.0? by Montclair Film

3️⃣: ChatGPT "ChatGPT (Chat Generative Pre-trained Transformer) is a chatbot developed by OpenAI and launched on November 30, 2022. Based on a large language model, it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive prompts and..."

Image by

Original:

OpenAI

 

Vector:

Zhing Za

4️⃣: Ke Huy Quan "Ke Huy Quan (born August 20, 1971), also known as Jonathan Ke Quan (), is an American actor. As a child actor, Quan rose to fame playing Short Round in Indiana Jones and the Temple of Doom (1984) and Data in The Goonies (1985). Following a few roles in the 1990s, he took a 19-year acting hiatus,..."

Image by The White House

5️⃣: Michelle Yeoh "Michelle Yeoh Choo Kheng ( YOH; born Yeoh Choo Kheng; simplified Chinese: 杨紫琼; traditional Chinese: 楊紫瓊; 6 August 1962) is a Malaysian actress. Credited as Michelle Khan in her early films in Hong Kong, she rose to fame in the 1990s after starring in Hong Kong action films where she performed her..."

Image licensed under CC BY 2.0? by ITU Pictures from Geneva, Switzerland

[govindhtech]

Benefits of AI Transformation

AI Transformation Adoption

After generative AI emerged, CEOs worldwide examined its potential for their enterprises, making this year one of technology’s most exciting. Many see its worth and want to keep inventing, while others are excited by what it has unlocked and want to embrace it. Microsoft is committed to responsible AI initiatives based on pragmatic innovation and client AI transformation.

After talking to customers and partners about the results they’re seeing and rationalizing them against Microsoft’s generative AI capabilities, we’ve identified four areas for organizations to empower their AI Transformation: enriching employee experiences, reinventing customer engagement, reshaping business processes, and bending the innovation curve. Based on this, pragmatic AI innovation is simpler to implement, and I am proud of our global influence with clients and partners. From building customer-focused AI and cloud services for millions throughout Europe and Africa with Vodafone to empowering consumers and workers with generative AI with Walmart.

Copilot technology improves employee experiences and shapes work

Bayer employees are cooperating better on global research projects and saving time on everyday chores using Copilot for Microsoft 365, while Finnish business Elisa is helping finance, sales, and customer service knowledge workers optimize mundane operations. Cathay and MTR, Hong Kong’s leading transportation corporations, are optimizing processes, boosting communications, and decreasing administrative responsibilities.

Banreservas is increasing staff efficiency and decision-making. KPMG has witnessed a 50% increase in staff productivity, Dentsu is saving hundreds of workers up to 30 minutes per day on creative visualization, and EY’s Copilot for Microsoft 365 makes it simpler to produce reports and access insights in near real-time. Malaysian financial services company PNB saves workers time going through papers and emails, and AmBank staff improves their performance. Financial advisors at Hargreaves Lansdown use Copilot for Microsoft 365 and Teams to boost efficiency and engage attendees. Copilot for Dynamics 365 from Avanade saves sellers time updating contact information and summarizing email conversations, while HSO Group, Vixxo, and 9altitudes streamline field and support team operations.

Reimagining consumer interaction using generative AI to boost value and pleasure

On their Power Pages webpage, MECOMS allows utility customers to ask questions and obtain power usage reduction advice using Microsoft Fabric and copilot. Schneider Electric’s Resource Advisor copilot improves data analysis, visualization, decision assistance, and performance optimization. Dynamics 365 Customer Insights and Copilot for Dynamics 365 help California State University San Marcos customize the student experience and engage parents and alumni.

Adecco Group is strengthening its services and solutions with Azure OpenAI Service to prepare workers for generative AI, UiPath has helped one of its insurance customers save over 90,000 hours through more efficient operations, and Providence has developed a solution for clinicians to respond to patient messages up to 35% faster. Domino’s, LAQO, and OCBC are constructing generative AI assistants to save time, enhance customer service, and concentrate on more sophisticated jobs.

Atento has increased customer satisfaction by 30% and reduced operational errors by nearly 20% in a few weeks after introducing its copilot to personalize customer service, and Turkey-based Setur is personalizing travel planning with a chatbot to customize responses in multiple languages for its 60,000 daily users. In six weeks, apparel company Coats Digital built an AI assistant to simplify client onboarding. Greece-based ERGO Insurance collaborated with EBO to provide 24/7 virtual agent support, while H&R Block created AI Tax Assist to help individuals and small business owners file and manage their taxes confidently and save money.

Redesigning corporate procedures to boost developer creativity, AI innovation, and efficiency

Siemens created an industrial copilot to streamline design engineer-front-line worker virtual communication, simulation timeframes, and job completion from weeks to minutes. Hanover Research created an AI-powered research tool with Neudesic to optimize operations and find insights 10 times quicker. The London Stock Exchange Group and Milliman are using Microsoft Fabric to generate greater value from data insights, while Zeiss is optimizing analytics processes to help teams make customer-centric choices.

A unique Azure AI-based document processing solution saved Volvo Group over 10,000 manual hours. Carlsberg has increased development team efficiency by integrating GitHub Copilot, while Hover, SPH Media, Doctolib, and CloudZero have improved processes in an agile and secure environment. Mastery Logistics Systems and Novo Nordisk use GitHub Copilot to automate repetitive coding work for engineers, while Intertech uses it with Azure OpenAI Service to improve coding correctness and cut daily emails by 50%. Unique AG, a Swiss AI-driven startup, helps financial sector customers decrease administrative labor, speed up procedures, and enhance IT support.

Azure OpenAI Service helps PwC streamline its audit process and increase transparency for clients.  Epiq streamlined staff procedures using Power Platform, including AI and Copilot, saving over $500,000 annually and 2,000 hours each month. PGE is resolving 40% of support desk requests to save over $1 million annually, while Nsure is automating manual processing to save expenses by 50% and processing times by 60%. WTW is using Microsoft Copilot for Security to accelerate threat-hunting by allowing cyber teams to ask questions in natural language, while LTIMindtree plans to use it to reduce training time and improve security analyst skills.

Innovating across sectors with unique AI

Copilot for Dynamics 365 helps charity Team Rubicon swiftly finds and engages the appropriate volunteers in the right places to improve disaster response. Tom Tom, located in the Netherlands, is creating an AI-powered voice assistant to aid drivers with navigation and temperature management. VinBrain has created one of Vietnam’s first AI-powered copilots to help doctors improve screening and detection and improve doctor-patient relations. To speed up industrial automation system development, Rockwell Automation is introducing Azure OpenAI Service industry-first features.

Perplexity.AI developed their conversational response engine in six months using Azure AI Studio to democratize AI and reach millions of users. Generative AI is helping Myntra, India’s largest online apparel store, solve the open-ended search issue by helping buyers choose occasion-appropriate outfits. Aisin Corp. in Japan has created a generative AI app to help deaf and hard of hearing people navigate, communicate, and translate, and Natural Reader in Canada is using Azure AI to improve AI voice quality to make education more accessible for students with learning differences. Synopsys is using generative AI to speed up semiconductor design, one of the most difficult technical issues.

As businesses embrace AI Transformation, they must clarify how to use AI to solve their most important business demands. Microsoft is dedicated to helping customers and partners accelerate pragmatic AI innovation. As your technology partner of choice, Microsoft innovative copilot capabilities, exceptional partner ecosystem, and unique co-innovation activities with clients support your success. They also value the trust they have earned via their partnership approach, ethical AI solutions, and data, privacy, and IP protection. We think AI innovation enables us to live closer to our goal than ever before.

Read more on Govindhtech.com

[crazyfilterlady2024]

"xAI Soars: Elon Musk's Billion-Dollar Bet on the AI Revolution"

Elon Musk's foray into artificial intelligence is hitting stratospheric heights as his startup xAI reportedly seeks a staggering $6 billion in funding, eyeing a valuation of $20 billion. This audacious move, as reported by the Financial Times, signals Musk's intent to challenge the titans of AI, including OpenAI.

In a bid to secure this monumental investment, xAI has set its sights on family offices in Hong Kong and sovereign wealth funds in the Middle East, leveraging the global appetite for AI innovation. This ambitious fundraising endeavor far surpasses xAI's initial target of $1 billion, showcasing the exponential growth and investor interest in the AI landscape.

While xAI's valuation may pale in comparison to industry behemoth OpenAI, it aligns with peers like Anthropic, backed by Google, underscoring the fierce competition in the AI arms race. With Musk actively courting investors in Japan and South Korea, the stage is set for xAI to cement its position as a formidable player in the AI arena.

Coordinated by Morgan Stanley, this funding round represents yet another chapter in Musk's quest to revolutionize AI, driven by his vision for safer and more ethical AI development. With the recent launch of "Grok," a chatbot rivaling OpenAI's ChatGPT, xAI is poised to disrupt the AI landscape further, captivating investors and enthusiasts alike.

As Musk continues to sound the alarm on the perils of unchecked AI development, his dual commitment to innovation and responsible AI governance underscores the pivotal role xAI aims to play in shaping the future of technology. In an era where AI is hailed as a beacon of innovation, xAI stands at the forefront, a testament to Musk's unwavering determination to push the boundaries of possibility.

Elon Musk's foray into artificial intelligence is hitting stratospheric heights as his startup xAI reportedly seeks a staggering $6 billion in funding, eyeing a valuation of $20 billion. This audacious move, as reported by the Financial Times, signals Musk's intent to challenge the titans of AI, including OpenAI.

In a bid to secure this monumental investment, xAI has set its sights on family offices in Hong Kong and sovereign wealth funds in the Middle East, leveraging the global appetite for AI innovation. This ambitious fundraising endeavor far surpasses xAI's initial target of $1 billion, showcasing the exponential growth and investor interest in the AI landscape.

While xAI's valuation may pale in comparison to industry behemoth OpenAI, it aligns with peers like Anthropic, backed by Google, underscoring the fierce competition in the AI arms race. With Musk actively courting investors in Japan and South Korea, the stage is set for xAI to cement its position as a formidable player in the AI arena.

Coordinated by Morgan Stanley, this funding round represents yet another chapter in Musk's quest to revolutionize AI, driven by his vision for safer and more ethical AI development. With the recent launch of "Grok," a chatbot rivaling OpenAI's ChatGPT, xAI is poised to disrupt the AI landscape further, captivating investors and enthusiasts alike.

As Musk continues to sound the alarm on the perils of unchecked AI development, his dual commitment to innovation and responsible AI governance underscores the pivotal role xAI aims to play in shaping the future of technology. In an era where AI is hailed as a beacon of innovation, xAI stands at the forefront, a testament to Musk's unwavering determination to push the boundaries of possibility.

Love Always, Maria DC Santiago aka Crazy Filter Lady

#xAI #ElonMusk #AIRevolution #StartupFunding #TechInnovation #ArtificialIntelligence #InvestmentNews #TechTitans #FutureTech #EthicalAI

[shahananasrin-blog]

[ad_1] Hong Kong: China's internet giant Tencent Holdings teased the launch of an artificial intelligence (AI) chatbot on Wednesday through a social media post as a race among Chinese firms to develop such tech heats up.The Shenzhen-based company published a post on WeChat on Wednesday to drum up hype for a two-day summit it will kick off on Thursday. The post featured a demo conversation a user had with an AI chatbot, which helped the user write promotional materials.The company also added a new mini program named "HunyuanAide" to WeChat, although it remained inaccessible to the public as of Wednesday. Reuters reported in February that the company formed a team to develop a ChatGPT-like chatbot named "HunyuanAide".This comes after China started to approve AI chatbots for public release last month. Other big tech companies in China including Baidu Inc and SenseTime Group released their AI chatbots last week.Tencent has been developing its own AI model named "Hunyuan" for months and the company said last month that it was expanding the test of the model internally.(Except for the headline, this story has not been edited by NDTV staff and is published from a syndicated feed.) [ad_2]

[hdwebsoft]

HDWEBSOFT is a leading Flutter development company with a proven track record of success. We have developed chatbot apps for a variety of clients, and we have helped them to improve customer satisfaction, increase customer engagement, generate leads, and increase sales.

If you are looking for a reliable and experienced Flutter development company, please contact HDWEBSOFT today. We would be happy to discuss your project and help you to create a chatbot app that meets your needs.

#Flutter #chatbot #study

[augurstechnologies]

Does your company need a chatbot development company? Modern products for sales, marketing & support to connect with customers and grow faster. Chatbots are intuitive to use and can be implemented into several fields of business such as e-commerce, entertainment, news, customer support, delivery services or corporate information exchange. For more info: https://www.augurs.in/chatbot-development-company-usa/

[officialtgss]

THE BENEFITS AND CHALLENGES OF ARTIFICIAL INTELLIGENCE

Humans have long been obsessed with creating Artificial Intelligence. The idea was first written about by Allan Turing when he first posed the question, "Can machines think?" in the year 1950. Now it appears that the answer is moving towards yes. A.I is poised to have a profound impact on our lives and it's everywhere. The two biggest developments to bring A.I to the forefront were big data and computing power. A.I relies on vast amount of data to truly be an effective intelligent system. But up until recently, that data wasn't available and computers couldn't have handled it if it was. But what exactly is A.I? Simply put, it's a software that can be designed to do things that only humans used to do.

 From robots customer service agents to chatbots and autonomous vehicles. A.I is almost unavoidable and we better get used to it because this is one trend that isn't going to go away anytime soon.

A.I can now automate everyday tasks, process, and analyze huge amounts of data. It can help with management decisions and put the most effective teams together. It can converse with customers to resolve customer service issues and so much more. Incorporating A.I into the office is like having your army of robotic assistant that can assist and streamline nearly any task.

 There are both benefits and challenges with A.I especially when it comes to the workplace. Let's take a look at the benefits. First A.I is huge for productivity. Imagine a world where didn't have to perform the menial tasks of your job because a computer could do it. Things like managing referrals updating information and coordinating schedules hence leaving you free to focus on a big-picture strategy. Some studies predict that A.I can increase workplace productivity by as much as 300%. That can be a very big impact on your business.

 Second, A.I can help with decision making because machines aren't clouded by emotions. A.I can do things like predict financial trends, pull analysis for rolling out a new product and solve customer service issues all much more quickly and for a fraction of the cost of having humans do it. A venture capital firm in Hong Kong even put a robot on its board of directors because it could pick up on market trends that humans couldn't see and quickly make objective decisions.

 Third, we have personalization. Have you ever tried to hire someone only to find out a few months down the road that they just a good fit for the company? A.I can identify success factors and screen fob applicants to highlight the people who are most predisposed to perform well. A.I can also help organizations better to understand and their employees and what they care about and value in order to deliver personalized experiences. Personalization is also very relevant to customers but it can be expensive and time consuming for humans to deliver on this. That's where A.I comes in, for remembering online shopping preferences and creating personalized advertisement campaign or reaching out to customers via chatbots. A.I can be huge in turning customized experiences into sales.

 Lastly, we have increased accuracy. Humans naturally make errors in their work no matter how carefully we checked data. However A.I has the potential to be virtually error-free. Experts have already predicted that governments could use A.I to reduce fraud and minimize errors in tax collection. In the medical space, which has used many of the same practices for decades A.I is being used to diagnose diseases with nearly 100% accuracy. A.I may sound great but what about the potential dangers?

 First up, security and privacy. To be effective A.I needs access to lots of information which means it could be pulling or sharing your employee or customer data without you even knowing it and so far no one is stepping up to regulate what it can and can't see and use. This is especially crucial as A.I becomes smarter and more self-reliant.

Second, rules and regulations are not currently in place to help control what A.I can be used for, what A.I can control, what information it has access to or what to do whenever something goes wrong and something always goes wrong.

 Third, it's challenging the status quo. After all implementing A.I is a huge transition that can upset many of the established corporate practices and processes inside of our organizations. Many companies just aren't ready for the switch to A.I and it could take time before they are in an organizational and cultural mindset to adopt this new technology. This is true for employees and customers. How will employees feel working with an A.I co-worker and how will customers feel when they show up to a retail store and are helped by a robot instead of a human?

 Lastly, we have the big concern about job displacement. Will A.I create more jobs than it replaces or will it replace more jobs than it creates? Of course, nobody knows the answer to this question and studies and data have been pointed out to which can justify either outcome. This is perhaps the largest issue facing A.I today and for a good reason. W e are simply not prepared to live in a world where A.I and robots do most of our jobs and we don't have any concrete plans in place for how to address this. A.I will undoubtedly play a large role in the future of work and life.

 Now is the time for companies and employees to prepare as technology grows at an ever-increasing pace. One of the most important things an individual can do is to learn how to learn. Many of the skills and programs learned in schools and inside our organizations even recently, will soon be outdated. The ability to learn new things and to apply those learning to new situations and scenarios will always be valued and will be even more important as the technological future changes. We must also focus on bringing humanity into our organizations because that is something A.I can not replace. Empathy, emotion, human connection, inspiration. These are all human things Those who will be masters of the so-called soft skills, will see much success.

 Lastly, we must all prepare for many potential futures instead of just one. Since we don't know what impact A.I will have on work or life. We must explore various scenarios for what the future will bring. In a sense, we must all think like futurists who are constantly looking at what the future may bring and how to design the future we would like to see happen. It is clear that A.I is a big part of the future of work, so get ready, we are all about to go on an A.I roller coaster rider.

[best2daynews]

Chinese apps remove ChatGPT as global AI race heats up | CNN Business - latest news

Hong Kong CNN  —  Several popular Chinese apps have removed access to ChatGPT, the artificial intelligence chatbot that has taken the world by storm even as major Chinese tech companies race to develop their own equivalent. ChatGPT, developed by the American research lab OpenAI, is not officially available in China, but several apps on the Chinese social media platform WeChat had previously…

[hostor-infotech]

ChatGPT: Chinese apps remove chatbot as global AI race heats up

Hong Kong CNN  —  Several popular Chinese apps have removed access to ChatGPT, the artificial intelligence chatbot that has taken the world by storm even as major Chinese tech companies race to develop their own equivalent. ChatGPT, developed by the American research lab OpenAI, is not officially available in China, but several apps on the Chinese social media platform WeChat had previously…