Kochi, fondly known as the “Queen of the Arabian Sea,” is a city rich in history, culture, and scenic beauty. Whether you’re exploring its iconic backwaters, ancient landmarks, or bustling markets, having the freedom to travel at your own pace can make all the difference. With Motoshare, you can rent a bike or car effortlessly and embark on a memorable journey through this enchanting city.

Motoshare’s newly launched bike and car rental services in Kochi make booking vehicles easier than ever. With just a few clicks, renters can connect with trusted vehicle owners and hit the road without delays or hassles.

Why Choose Motoshare in Kochi?

1. Effortless Booking: Search, select, and confirm your rental online in minutes.
2. Diverse Vehicle Options: Choose from an extensive range of bikes and cars to suit your needs.
3. Affordable Rates: Transparent pricing with no hidden charges ensures you get the best value.
4. Direct Rentals: Rent directly from local vehicle owners, adding a personal touch to the process.
5. Flexible Options: Perfect for short trips, full-day excursions, or extended travels.
6. 24/7 Availability: Book a ride anytime, ensuring convenience whenever you need it.

Ready to explore Kochi?

• For car rentals in Kochi
• For bike rentals in Kochi

Top 10 Places to Visit in Kochi with Motoshare

1. Fort Kochi
   • Why Visit: Explore the rich colonial history, charming streets, and iconic Chinese fishing nets.
   • Best Time: Early morning or evening for pleasant weather and fewer crowds.
2. Mattancherry Palace (Dutch Palace)
   • Why Visit: A historical gem showcasing exquisite murals and artifacts.
   • Best Time: Morning to explore at a relaxed pace.
3. Marine Drive
   • Why Visit: A picturesque promenade perfect for evening strolls and stunning sunsets.
   • Best Time: Evening for a cool breeze and vibrant views.
4. Jew Town
   • Why Visit: Discover the Jewish Synagogue, antique shops, and vibrant markets.
   • Best Time: Daytime to explore the cultural and historical highlights.
5. Cherai Beach
   • Why Visit: A serene beach ideal for swimming, sunbathing, and relaxing.
   • Best Time: Morning or late afternoon for a refreshing escape.
6. Hill Palace Museum
   • Why Visit: A royal residence turned museum featuring archaeological treasures.
   • Best Time: Morning hours for an immersive experience.
7. Kerala Folklore Museum
   • Why Visit: Dive into Kerala’s art, culture, and traditions at this unique museum.
   • Best Time: Anytime during operational hours.
8. Willingdon Island
   • Why Visit: A man-made island with scenic beauty and peaceful surroundings.
   • Best Time: Morning or evening for a tranquil getaway.
9. St. Francis Church
   • Why Visit: Visit India’s oldest European church, steeped in history and architectural beauty.
   • Best Time: Morning for a serene atmosphere.
10. Mangalavanam Bird Sanctuary
    • Why Visit: A paradise for birdwatchers and nature enthusiasts in the heart of the city.
    • Best Time: Early morning to catch the birds in action.

Advantages of Exploring Kochi with Motoshare

1. Freedom to Explore: Navigate Kochi’s attractions on your schedule without relying on public transport.
2. Cost-Effective Travel: Save on expensive taxis and cabs by choosing budget-friendly rentals.
3. Tailored Rentals: Flexible options for solo travelers, couples, or groups.
4. Local Insights: Renting directly from locals often includes tips on hidden gems and authentic eateries.
5. Eco-Friendly Choices: Opt for fuel-efficient bikes or cars for sustainable travel.

Book Your Ride with Motoshare and Start Exploring Kochi Today!

From scenic backwaters to historic landmarks, Kochi offers endless opportunities for exploration. With Motoshare’s reliable bike and car rentals, your journey through the city becomes convenient, enjoyable, and unforgettable.

Get started now:

• For car rentals in Kochi
• For bike rentals in Kochi

Let Motoshare be your travel companion as you create unforgettable memories in Kochi. Happy exploring!

The post Effortless Rental Solutions for Kochi Travelers appeared first on Artificial Intelligence.

The issue of data protection has become a hot topic during the 2021 World Artificial Intelligence Conference (WAIC), with workshops, forums and speakers pledging to enhance data security and exhibiting related technologies, after the removal of the “Chinese Uber” Didi Chuxing app from domestic app stores raised concerns and discussions about how data should be treated in cross-border business. 

Several speakers told the Global Times on the sidelines of WAIC that the trend of using technologies and services for data privacy protection while still unlocking the value of big data is “on a rapidly rising curve,” as artificial intelligence companies face tightened regulation requirements on data protection. 

A number of forums are dedicated to the discussion of creating a balance between unlocking the value created by big data and keeping the date safe through technical means.

One such technology is called the Privacy-Preservation Computation (PPC), which is a set of cutting-edge technologies that allow companies to analyze data jointly without seeing the specific data. 

For example, the technology will allow companies to know what tea brands 20-30 girls like to drink based on a pool of data, but they wouldn’t be able to see the original data of each person involved.

“I think China is leading in Privacy-Preservation Computation. Especially this year, many new companies have emerged in the field of privacy calculation, including companies that used to engage in data, safety business or even blockchain,” a person at the Ant Group booth told the Global Times. 

Ant is also using PPC technologies by “scale application,” while promoting the technology to other companies commercially, the person said. 

Ant Group demonstrated its AntChain Morse MPC platform. The platform utilizes cutting-edge Secure Multi-Party Computation technology, cryptography and privacy protection technology to ensure that all data cooperative parties can share data while keeping their original data private, which has been applied in intelligent risk management and joint scientific research.

Wang Shuang, founder of NVXClouds Tech, also a speaker at the WAIC, said that the market of privacy calculation has surged this year. 

Data also shows a booming trend of Chinese companies’ usage and sales of data privacy services. According to a report published by the National Industrial Information Security Development Research Center, the number of China’s privacy calculation patents has risen rapidly in the past two years, with most patents applied by Ant Group, Alibaba and WeBank.

The report showed that patent applications started to rise abruptly in 2017, and there were nearly 5,000 privacy calculation patents by the end of April. 

Such a trend is very likely to accelerate after Didi’s sudden removal from domestic app stores struck alarm bells among domestic companies that Chinese regulators would toughen management over data privacy protection, experts said. 

Didi’s shares slumped for four consecutive days after the removal. On Thursday, the company’s shares slumped by 5.37 percent to $11.27 on the New York Stock Exchange.

“Didi’s rectification should serve as an example of how Chinese regulators would supervise big data platforms’ data treatment model. In the future, the direction of such supervision would become clearer, which would exert a positive influence on national security as well as privacy protection,” Kuang Yuqing, founder of Lens Company Research and a veteran financial commentator, told the Global Times. 

The problem of data privacy protection has become more sensitive for cross-border flow of data, like the Didi case, as China and the US’ relations deteriorate amid US sanctions against Chinese tech companies, according to some speakers.

“There is a strong demand for PPC in cross-border data flow, especially among the unmanned vehicle enterprises and cross-border financial institutes,” Bian Yang, vice president of Fudata Technology, told the Global Times.

Wang also agrees that PPC technology can help companies share analyzed data abroad under government authorization and data compliance, but keep the source of the data at home.

But experts still pointed out some challenges in the current data privacy sector. An Guangyong, an expert at the China Mergers and Acquisitions Association, told the Global Times that in terms of data privacy protection, China still lacks regulations as well as technologies.

“In Western countries, the updating speed of credit and related laws is most frequent (among all laws), and I think China should also formulate relevant laws to regulate data privacy, while updating it from time to time,” he told the Global Times. 

The post Balance of big data value unlocking and protection highlight amid Didi crisis; possible solutions introduced at WAIC appeared first on Artificial Intelligence.

Summary

• The company has developed a security robot named ROAMEO and is valued at more than $700 million as of time of writing.
• However, the latest quarterly revenues were less than $0.12 million and Artificial Intelligence Technology Solutions is losing money.
• What’s worse, it has a negative working capital of $15.7 million as well as various convertible notes with interest rates of 10% and above.
• The main driver behind the company’s soaring share price seems to be high retail investor interest, which emerged a few weeks ago.
• I doubt the business is worth much considering the weak revenues and balance sheet.

Introduction

I’ve noticed that there’s significant interest from SA subscribers in my articles on OTC companies that are popular with retail investors, such as Tesoro Enterprises (OTCPK:TSNP), Viper Networks (OTCPK:VPER) and Healthier Choices Management Corp (OTCPK:HCMC).

In light of this, I thought it’s worth taking a look at Artificial Intelligence Technology Solutions (OTCPK:AITX), which is currently one of the most traded companies on the OTC market. It’s an artificial intelligence company with an interesting business focused on security robots.

However, Artificial Intelligence Technology Solutions is unprofitable and the business looks worthless, considering the working capital is negative. I think this one is a sell.

Overview of the business

Artificial Intelligence Technology Solutions specializes in robotics and artificial intelligence-based hardware and software solutions. The company has several subsidiaries, including Robotic Assistance Devices, Robotic Assistance Devices Group, Robotic Assistance Devices Mobile, On the Move Experience and OMV Transports and its main products include security robots such as ROAMEO.

The company claims it has secured USD 16mn in conditional pre-orders on this product alone. The first ROAMEO unit was deployed in October 2020 and the client was an unnamed Fortune 500 firm.

In January, Robotic Assistance Devices announced that it entered the European Union market after receiving an order in Romania for two units.

Some of the other products in the portfolio of Artificial Intelligence Technology Solutions include a gate control system called AVA.

The products of Artificial Intelligence Technology Solutions certainly sound interesting but my concern is that they have limited market potential.

Looking at the company’s financials, revenues stood at just $0.12 million in the quarter ended November 2020. While the gross profit margin was impressive at almost 80%, the company booked a $0.9 million loss from operations due to pretty high general and administrative expenses for such a small business.

The balance sheet also looks bad as assets stand at just $0.7 million and working capital and book value are deeply in the red.

The company has a significant amount of convertible notes, which I think don’t have favorable interest rates and conversion rates.

Retail investor interest

One interesting thing that I noticed about Artificial Intelligence Technology Solutions is that its share price has recorded several short-term spikes over the past five years.

The latest one started around the end of December 2020 and shares have risen 598% in 2021 as of time of writing.

Just like the other three OTC companies I’ve covered in the recent past, Artificial Intelligence Technology Solutions has attracted significant interest from retail investors. On Twitter alone, there is a new tweet with the $AITX hashtag every few minutes at the moment. The company also seems to be popular on websites like Stockwits as well as reddit. Its own subreddit was created on December 30 and it has 3.7k members as of time of writing.

I think the company is doing an excellent job on the marketing front and you can find several recent interviews with its president Steven Reinharz on YouTube. Also, Reinharz’ profile on twitter features the #RADArmy tag, which has picked up traction on social media platforms over the past month.

Investor takeaway

Artificial Intelligence Technology Solutions has interesting products and I think the company is doing an excellent job of promoting its business and shares, especially on social media platforms.

However, the company is valued at over $700 million as of time of writing and I think this valuation is very hard to justify. Looking at the latest available financials, revenues are low and the Artificial Intelligence Technology Solutions is losing money. What worse, it has a negative working capital of $15.7 million and the book value is negative. I think this company isn’t worth much and it’s a sell.

The only scenario I see in which the bear case could be wrong is one in which ROAMEO becomes a revolutionary product in the security space. I view this as highly unlikely.

The post Artificial Intelligence Technology Solutions Is An Overvalued AI Company appeared first on Artificial Intelligence.

Lenovo has assembled an ecosystem of IoT solutions to help make it easier for customers to get back to work in offices without dealing with the hassle traditionally encountered in IoT projects. To that extent, Lenovo validates, deploys, and manages these end-to-end solutions globally in a set of turnkey offerings, especially important for large businesses with distributed locations. These are the first solutions from Lenovo’s Commercial Internet of Things Business Group, established in 2019 to help drive the company’s service-led transformation.

Lenovo provides a single point of accountability for customers across their Back to Work solutions. Lenovo tests each solution through a rigorous validation process that includes up to 140 steps covering security, serviceability, scalability, and reliability. Lenovo’s field network of more than 20,000 technicians handle deployment for all the solutions with minimal site disruption. With customers in more than 180 markets and expertise supporting more than 125 million devices, Lenovo provides leading solution monitoring and management to keep all these ThinkIoT Back to Work solutions running for customers.

Three-Step Framework for Back to Work

In a recent Lenovo survey in the U.S, 58% of respondents said their job shifted to remote work in response to Covid-19, and 88% say it’s important for their companies to deploy technology-based safety measures within their workplaces before they go back to work.¹

Lenovo outlines a three-step framework with technology at its core to help make spaces safer and to accelerate business transformation for the long term.

1. Controlling who gets into the location
2. 2) Managing behaviors within the space; and
3. 3) Preparing to respond to incidents

ThinkIoT Back to Work Solutions support this three-step framework with a set of end-to-end, pre-tested and validated IoT solutions incorporating carefully selected and proven hardware and software partners, including CXApp, Inpixon, L Squared, Openpath, Relogix, and Viper Imaging. These solutions help make workplaces safer as employees progress through the building:

• Touchless Building Access: Modern access control that allows touchless access, phone-based authentication, easy cloud management, and integrations with legacy access control systems and IoT solutions. (Openpath)
• Elevated Temperature Screening: Thermal screening solutions using U.S. Food and Drug Administration cleared thermal cameras to identify elevated body temperature in individuals as they go through access points. (Viper Imaging)
• Digital Signage and Policy Communication: Integrated digital communication and content management solution to effectively communicate policies and information to your workforce. (L Squared)
• Safe Workspace Monitoring: Office occupancy monitoring solution with granularity to a seat level to comply with social distancing protocols and identify workspace utilization for target cleaning. (Relogix)
• On-Premise Contact Tracing: Employee and visitor tracing using existing Wi-Fi network to monitor workspace zone health and enable a focused response in the event of an incident. (Inpixon)

Customers can choose what’s most important to them and mix and match solutions based on their desired outcomes. Lenovo serves as the one-stop shop for deploying and managing these Back to Work Solutions.

“For the past decade IoT solutions have promised great results but haven’t delivered,” said John Gordon, Lenovo’s President, Commercial Internet of Things.

At a time when IoT solutions are plentiful, single IoT solutions can easily require hundreds of thousands of sensors and end points when deployed across global site locations. Once companies start considering multiple IoT solutions, this challenge can easily reach millions of devices, limiting businesses from realizing the potential value of IoT. Lenovo recognizes and overcomes the business challenges associated with leveraging IoT solutions by identifying trusted solutions, deploying at scale, and managing across vendors and sites over time.

The post Lenovo Launches Internet of Things Solutions To Make The Workplace Safer During COVID-19 appeared first on Artificial Intelligence.

The study “Connected Everything: Taking the I Out of IoT,” was conducted across 200 enterprise executives in North America and Europe in several vertical industries already deploying IoT. The industries ranged from financial services to health care and hospitality. As per the report, most of the companies are focusing on the concerns and opportunities around the Internet of Things. A significant number of companies are witnessing strong business cases for IoT adoption as part of a broader digital transformation process. The majority of respondents cited improved customer retention, enhanced productivity, and high efficiency as their highest objectives.

Companies are working towards expanding the use of IoT solutions; however, to realize this potential, they need to secure, easy-to-deploy and flexible ways to support IoT integration with their businesses and processes. The report also notes a major growth in the role of expert third-party suppliers that have helped businesses in tapping new opportunities available via a bigger global IoT connectivity.

Half of the executives identified data, network, and device security as the biggest challenges to IoT adoption, the study found. Moreover, half of them also said they prefer putting IoT devices on their own private networks to tackle IoT security concerns. Nearly all respondents said they are either considering or are currently using a private network for their IoT deployments.

Other top challenges for IoT adoption in the enterprise were integration and security concerns, the study found. Nearly 45% of respondents said integration with legacy IT and networks are challenging, while 40% cited integration with business processes as a major challenge. As per the report, if enterprises plan to embrace IoT in its full capabilities, they will face issues including IoT concerns, providing technical solutions, consulting services, and a transparent approach to IoT security.

IoT adoption comes with its challenges for companies; however, experience, network reach, and technology expertise can be instrumental in addressing their concerns. Using private networks to avoid the inherent risks of the public internet is a viable but technically complex approach. Today, enterprises are eager to adopt and realize the economic and productivity benefits but understand they can’t go it alone in their deployments.

The post IoT – Majority of Enterprises See Strong Cases for IoT Adoption appeared first on Artificial Intelligence.

By analyzing the past few years you can find that machine learning has seen unprecedented improvement in businesses in easing their chores. Machine learning is a broad subset of artificial intelligence and its only chore is to train the machine to learn. If you’re looking for machine learning providers, there are plenty. Keeping in mind reliability, quality and ability best machine learning software companies are listed.

Machine learning services

Services providing machine learning are sprouting out as the demand for business solutions increases. These services work on advanced machine learning solutions that assist organizations in developing innovative business models, in data-driven decision making and solving major business challenges.

The services also develop ML-powered for the future by employing mathematical optimization, nature-inspiring algorithms, computational intelligence and pattern recognition. They follow a series of strategies and offer the best machine learning offerings for their clients.

Software companies providing ML language

Machine learning vendors also offer custom solutions for customers for managing massive data volumes. They also run cutting-edge algorithms for the performance of a task by themselves. The ML-powered applications offer the best productivity, decision making, quick anomaly detection as well as process automation. Here are a few attributes of the service providers.

Deep learning: These services offer deep learning solutions for clients to acclimate to unpredictable business situations and to discover new processes and ideas. The services assist in reducing the operational cost and in processing massive volumes of data for best actions.

Predictive analysis: These services offer cutting-edge and scalable solutions for gaining better insights into markets and customers, present data, profitable decisions, and best business results.

Natural language processing: The usage of natural language processing with linguistics, machine learning and artificial intelligence are the best services by these providers. The providers enable to assimilate NLP capabilities in bots, applications and IoT devices. By this way there is evading of complexity and documentation process is quick. With NLP expertise, there are chances for the development of next-generation digital assistant by the businesses. These assistants would be contextually appropriate as they understand the language of the customers and make appropriate decisions.

AI models: The providers develop sophisticated AI applications to satisfy business requirements and also broaden the scope of ROI by developing further business operations. By this way, business operations are also made more intelligent. The providers make sure to incorporate AI models with present business models. By assimilating AI, the providers make sure to offer a number of services that offer effective, unique and innovative solutions for customers.

Conclusion

The service providers follow a certain strategy in developing ML models. They understand the data by collecting from the right sources and assess them for a good understanding of the business issue. Then they move on to data preparation where they process data for elevate quality. They then develop train models and check its efficiency in model building mode. Finally, they evaluate and deploy.

The machine learning providers are sure to assist the business in improving operational efficiency, gain competitive advantage, and drive drastic revenue. The best machine learning software companies utilise deep learning and identify number of images and data, they overcome issues, understand spoken language and work in an effective manner.

The post Best Machine Learning Solutions For Business To Reap Success appeared first on Artificial Intelligence.

LONDON and AUSTIN,  Texas, July 15, 2019 /PRNewswire/ — Blue Prism (AIM: PRSM), a leader in Robotic Process Automation (RPA), today announced plans to deliver leading-edge intelligent automation solutions and cognitive services on Microsoft Azure.

The solutions will enable an on-demand Digital Workforce and contribute to Blue Prism’s goal of delivering its connected-RPA platform on Azure, allowing customers to accelerate automation projects, increase productivity, and improve customer experiences without needing capital investment in infrastructure.

“Microsoft’s vision for AI and our Azure AI platform centers on combining the power of the Azure cloud with decades of breakthrough research to deliver more innovation, flexibility and operational agility for our customers,” says Lance Olson, Director of Program Management, Applied AI, Microsoft. “Using Azure AI services like Form Recognizer, we look forward to working with Blue Prism to build intelligent applications that extract insights in forms, receipts, and other content to drive better business decisions.”

The collaboration will integrate Blue Prism’s automation capabilities with Azure AI technologies including Azure Cognitive Services and Azure Machine Learning as well as offering access to Microsoft Office 365. It’s also possible to leverage technologies like Microsoft Flow, Logic Apps, PowerApps and Power BI with Blue Prism, and the plan is to invest in these and other areas more deeply in the near future.

This news falls on the heels of the announcement of a free, fully functional enterprise trial of Blue Prism on the Microsoft Azure Marketplace. This offering gives new users access to Blue Prism’s award-winning RPA software on Azure through a quick and easy deployment process – no additional components needed. Blue Prism plans to reveal similar capabilities with other leading cloud vendors shortly.

“Partnering with Microsoft gives Blue Prism a roadmap for evolving Digital Worker capabilities with broader AI and cognitive capabilities,” says Dave Moss, CTO and co-founder at Blue Prism. “We want to drive consumption and adoption of connected-RPA with all users by providing a full range of intelligent automation possibilities. The future of work lies with those who embrace a Digital Workforce and empower people to do the things only people can do.”

Blue Prism also announced its plans to acquire Thoughtonomy, a provider of  a fully-integrated SaaS platform on Microsoft Azure. These announcements strengthen the company’s track record of success with customers looking to deploy RPA solutions on Microsoft Azure.

For more information and to sign up for the Blue Prism trial, visit: Blue Prism Robotic Process Automation on the Azure Marketplace. Blue Prism is at Microsoft Inspire this week, so feel free to drop by booth #1611 to find out more about running RPA in the cloud.

About Blue Prism
In this digital era where start-ups are constantly disrupting markets, only the most agile and innovative enterprises survive and thrive. At Blue Prism, we pioneered Robotic Process Automation (RPA), emerging as the trusted and secure intelligent automation choice for the Fortune 500 and the public sector. Now we bring you connected-RPA supported by the Digital Exchange (DX) app store—marrying internal entrepreneurship with the power of crowdsourced innovation.

Blue Prism’s connected-RPA can automate and perform mission critical processes, allowing your people the freedom to focus on more creative, meaningful work. More than 1,300 global customers leverage Blue Prism’s digital workforce, empowering their people to automate billions of transactions while returning hundreds of millions of hours of work back to the business. Visit www.blueprism.com to learn more about Blue Prism (AIM: PRSM).

The post Blue Prism to Expand Delivery of Intelligent Automation Solutions on Microsoft Azure appeared first on Artificial Intelligence.

Wipro, a leading global information technology, consulting and business process services company and Moogsoft, a pioneer and leading provider of artificial intelligence for IT operations (AIOps), announced a partnership.

Wipro will leverage Moogsoft’s industry-leading platform to deliver next-generation artificial intelligence for IT operations (AIOps) solutions for its customers.

Moogsoft’s AIOps platform, powered by purpose-built Machine Learning (ML) algorithms, helps IT teams in the real-time detection and remediation of IT incidents across applications, networks and IT infrastructure, ensuring continuous service delivery for customers.

Wipro HOLMES, Wipro’s AI and Automation platform, in partnership with Moogsoft, will provide end-to-end capabilities in AIOps transformation. This partnership will help customers dramatically improve the business availability of IT through unified alert management, root cause analysis, proactive anomaly detection and predictive capabilities.

It will enable Wipro to accelerate its customers’ digital transformation journey, and deliver increased business agility, developer productivity, and improved user experience.

Kiran Desai, Senior Vice President and Global Head, Cloud and Infrastructure Services, Wipro Limited said, “Moogsoft is an industry leader and our key partner in the AIOps solutions space. We have also invested in the company through Wipro Ventures, the strategic investment arm of Wipro Limited.

“Moogsoft’s industry-leading AIOps platform will enable our customers to adopt a more proactive and situation-aware incident management approach. We are confident that this partnership will strengthen our AIOps practice for the managed services provider market.”

Phil Tee, CEO and Founder, Moogsoft said, “Wipro has built an impressive AIOps practice to help global organizations accelerate their digital transformation initiatives, which demand continuous service assurance. The combined might of Moogsoft and Wipro will transform the economics of IT Operations and IT support alike by enabling proactive detection of outages, early warning of relevant alerts, and reduced actionable workloads on IT and DevOps teams.

“The patented capabilities of our AIOps platform, combined with Wipro’s market reach and strong managed services portfolio, will enable customers to become more agile and reduce business risks.”

The post Wipro and Moogsoft delivering AIOps solutions for customers appeared first on Artificial Intelligence.