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Why isn’t machine learning more widely used for medical diagnoses?

Whether it is with a RPA service provider or any other service/product that you are investing in, what matters is the value it offers to your business and the outcome it guarantees. What is important is how good are those services/products for your business.A good place to start looking for would be a reputed online aggregator/directory like Clutch or GoodFirms. If you search for the top Robotic Process Automation companies on GoodFirms for instance, you will get a list of the top vendors you can connect with.As per the list, some of the top RPA solutions providers are:Day One Technologies: The company specializes in building platforms/solutions for AI, machine learning, NLP, blockchain, RPA, AI powered mobile apps etc. and has the capability to cater to funded start-ups and enterprises (including Fortune 500 companies) across Asia-Pacific, MENA, USA, Canada and EMEA.Chatbots.Studio: The company is a conversational design and UiPath company, and can help businesses scale through automation, providing solutions in communications via messenger (Viber, WhatsApp, FB Messenger).Neebal Technologies: Some of the other services that the company provides include IoT, mobility and digital services, systems integration and more.Selecting an independent RPA service provider, several of whom will be start-ups by themselves has its own advantages. These vendors are usually known for building and offering a more customized solution that addresses specific business pain points. They are even more affordable than the big players and have a short turnaround time. Customer support team is also usually more prompt. Moreover, considering they are building solutions for your niche it’s usually unique.But if you are more keen to consider the conglomerates and the big players in the market, you can always take your pick from the likes of Accenture, IBM, Deloitte, Kofax or even the niche players like:UiPathBlue PrismAutomation AnywhereRPA bot implementation, requires some financial investment, skillset of the bot developer, and the necessity of a seamless integration into existing business processes. From the organization side, it also requires a changed mindset and a ready plan-of-action for the collaboration of bots and humans to work and deliver together.Hope this helps.

How many years will this RPA survive in the IT market?

RPA (Robotic Process Automation): Predictions For Next YearTom TaulliThis week UiPath filed for its IPO (on a confidential basis) and it will likely hit the markets in February. Like other enterprise software companies—such as Snowflake, C3.ai - Enterprise AI and Palantir—the offering should do extremely well.UiPath is the leader in RPA (Robotic Process Automation), which allows for the automation of repetitive and tedious tasks. And yes, the sector is the fastest growing segment of enterprise software. A key reason is that the ROI (Return On Investment) is quick and substantial.Consider that UiPath is on track to generate over $360 million in revenues this year and the customer count is more than 6,300. The company also recently raised $225 million at a valuation of $12.2 billion from investors like Accel, IVP, Dragoneer, Coatue, Sequoia, Kleiner Perkins and Capital G.This IPO will certainly raise the visibility of the RPA market and there will probably be more dealmaking. Keep in mind that there are a myriad of smaller operators in the sector.But what are some of the other trends we may see? What’s on the radar for next year? Let’s take a look:Muddu Sudhakar, the CEO of Aisera:“Larger players are entering the market. One notable case is ServiceNow, which bought Global AI Software Provider. This will bolster workflow automation to compete with Automation Anywhere and UiPath. ServiceNow wants to have document scraping, build a knowledge graph, and perform analytical queries against the knowledge graph.MORE FOR YOUTop Investors Advice To Prepare For The Next DecadeWhy And How Banks Can Tap No-Code And RPA Tech To Prepare For A Post-Pandemic WorldArtificial Intelligence (AI): What’s In Store For 2021?“Then there is Adobe, which bought Workframe. Adobe is the ‘Document Maker’ and owns knowledge and PDF creation as well as document scanning. Adobe wants to own the whole automation process for documents.”Tolga Tarhan, the CTO at Rackspace Technology:“The digitization of work at this new scale will cause tech leaders to rethink enterprise security and the increasingly popular zero trust strategy will take center stage.”Alex Rinke, the CEO of Celonis:“One group we are seeing in the automation space is the ‘hyper-automate everything’ crew, where you can find a lot of the RPA vendors dropping bots on everything that moves. The impact of Covid has driven reduced workforces to look for any help they can get, and in the short term, the automation-fix might feel good but the automation-tax is going to be high once those bots start limping and eventually breaking down. This approach has proven to be brittle and fail when the business changes, because it automates steps regardless of the business context, process situation, management objectives, etc. It ‘assumes’ there is always one way to execute things—which is never the case in business.”Eric Musser, the General Manager of Intelligent Automation at Pega:“Next year, we’re going to see a fall-off of RPA vendors as they try to diversify their solutions and expand into other markets. Businesses are waking up to the fact that RPA has not lived up to the hype and delivered the promised value. Standalone RPA vendors are going to be scrambling to rebrand themselves.”Michael Gilfix, the Vice President of Cloud Integration and Chief Product Officer of Cloud Paks at IBM:“RPA, when paired with AI, can help CIOs for example, self-detect, diagnose and respond to IT anomalies in real time. RPA can help close the loop and ensure consistent data across all tools that connect to the AI system, for example, IBM’s Watson AIOps. This can increase data quality and improve the accuracy of AI, as well as the productivity of engineers involved.”Sebastian Schroetel, the Vice President and Head of Intelligent Robotic Process Automation at SAP:“Accelerated by the pandemic, a broader and more agile implementation of automation in all functions of an enterprise is becoming an ultimate priority. By enabling business users or citizen developers without coding skills to automate processes and tasks, companies are much more flexible and quicker to adapt to changing business requirements. Those business users are also the ones who know their processes best and can therefore unlock a full citizen automation experience. Citizen Automation is the application of the current Low-code/no-code trend to the business process automation world.”Vadim Tabakman, a Director at Nintex:“As things start to settle around the workplace and return to some level of normal, RPA vendors will not be able to continue to do the same thing they did in 2020. Evolution of the business will be required, as they set themselves apart from the rest of the pack.”Dennis Ortiz, a managing director of strategy and analytics at Deloitte Consulting:“RPA will become part of the AI solution set. While less complex in nature, RPA will be a foundational component of an array of AI solutions.”Stephen DeWitt, the Chief Security Officer at Automation Anywhere:“Intelligent Document Processing (IDP), in particular, will emerge as a major tool for businesses to successfully navigate a completely remote workforce. Every organization will need to be able to process structured and unstructured data autonomously to work efficiently. IDP allows bots to process emails, signatures, and PDFs—enabling document-intensive processes such as insurance claims, loan applications, and invoices to be automated.”Jon Knisley, the Principal of Automation and Process Excellence at FortressIQ:“As the market transitions from point deployments within a specific business unit to wider adoption across an enterprise, the issue of data security and privacy will get bigger and suppliers will face greater scrutiny. Suppliers will need to be able to mask sensitive corporate data and personally identifiable information (PII) to meet requirements.”Michael Beckley, the Chief Technology Officer and cofounder at Appian:“2020 was about buying RPA bots and AI services. 2021 will be about organizations looking to scale those technologies, realizing the full value of those investments by unifying the modern workforce–with humans in control.”Guy Kirkwood, the Chief Evangelist at UiPath:“RPA will become the new ERP. I predict that the community of global system integrators (GSIs) and audit-based consulting companies will encourage and train thousands of workers to embrace automation. And that GSIs will do so in the same way they did with enterprise resource planning (ERP) software in the 1990s. My view is that these firms recognize that the automation industry is poised for explosive growth and see a very real opportunity to sell business strategy and enablement services to help their clients reap new benefits, much like they once did with ERP.”Shay Antebi, the Chief Technology Officer for Kryon:“The largest RPA providers will be forced to explore new verticals, and the small-to-medium enterprise (SME) sector will be one of them. I expect to see RPA vendors will go all-out to appeal to SMEs. But if they're going to gain any traction with this market, they have to revamp their entire user interface. The UX will have to be far less complex and onboarding needs to be more straightforward.”Rajendra Prasad, the Global Lead for Automation at Accenture:“We will witness the rise of the digital co-workers, with AI and machine learning augmenting human workers and helping with human + machine collaboration. This includes not just chatbots, for example, but AI assistants helping with project management, testing or data management. Paired with a culture of modern engineering (Agile, DevOps) and a continuous innovation mindset, automation in software development and application management are opening the door for IT to be an innovation partner to the business."Eric Tyree, the Head of AI and Research at Blue Prism:“AI-infused automation will increasingly be linked to core strategic initiatives such as improved customer focus, revenue growth, capital allocation, supply chain management, risk management, cost and operational efficiency and more. AI-powered digital workers will be leveraged as primary tools for executing on corporate strategy and managing enterprise scale risks.”Spiros Liolis, the Chief Technologist at Micro Focus:“While RPA is still in very early stages in supply chain operations, many if not all, organizations have established automation in supply chains for efficiency and speed. Technologies such as bar-code scanning, QRs, RFID, resource planning, and CRM are very well established and to a large degree, they offer automation, speed and agility. But these were mostly single system automation, usually with very structured data. For more complex systems, or systems with unstructured data, manual intervention is key. Today, by introducing intelligence with cognitive and machine learning, RPA systems mimic many human actions. With these additional abilities to RPA, we can automate tasks that are rules based, and follow workflows and instructions for processing inputs and developing outputs. Furthermore, RPA can be gradually ‘trained’ to forecast outcomes and enable digital decisioning. While putting these pieces together won’t happen immediately, developing a strategy and creating a roadmap of the implementation and integration, while gradually introducing a change culture, will allow the organization to drive necessary digital transformation.”Source: RPA (Robotic Process Automation): Predictions For Next YearRead more about RPA and other interesting articles from this blog site: RPA: Small ML Is The Next Big Leap In Robotic Process Automation

What do you think will be the big revelation in technology now?

The 10 Technologies That Will Make 2020After the Cloud, Edge Computing, IoT, augmented reality… what will be the key technologies in a year? 5G, AI, advanced data analytics, of course, but also others that might surprise you. Without further ado, here are the 10 of them that will probably be the most significant in 2020.1. 5G for everyone:2020 will be the year of 5G. Thanks to a few big names in telecoms, such as Qualcomm, AT&T, Verizon, Nokia, Ericsson, and Huawei, making sure the 5G rollout keeps pace, as well as the world’s top Android mobile makers launching now their 5G phones, it will already be in good working order by 2020. In addition to offering us all higher speed and more reliable mobile networks, the proliferation of 5G will also make it possible to accelerate advances in terms of cities, smart vehicles, and production, as well as many other IoT technologies requiring 5G. In other words, the exact value of 5G will not remain limited to phones.2. Faster Wi-Fi for a World on the Move:Although Wi-Fi 6 and 5G are two entirely different technologies, they will both give us much faster data processing and a much higher wireless connection speed in 2020. 5G and Wi-Fi working together concert will create the perfect end-to-end combination of lightning-fast connectivity for home and office. You should expect a download speed three times faster than that provided by Wi-Fi 5, but this is not the most significant aspect of this new standard. The real value of Wi-Fi 6 will be its ability to extend its data speed to many more devices than Wi-Fi 5 was capable of handling. This is important for two reasons: the first is that the number of devices connected to a typical Wi-Fi network is expected to grow from around 10 today to 50 over the next few years, and that will require faster, more efficient, and more Wi-Fi capabilities. ingenious. The second reason is that the quality and volume of data passing through Wi-Fi networks should also increase, and Wi-Fi 5 is unable to handle such weight properly. Wi-Fi 6 is expected to eliminate these weak points as early as 2020.3. Data analytics, competitive advantage:Companies still not investing heavily in data analytics by 2020 will likely be gone by 2021. There is simply too much customer data to collect, process, and transform into information allowing any company to remain competitive so that companies do not make full use of modern analytical tools. Going blind and following your gut are no longer viable options when all other companies use sophisticated analytical tools to identify problems, opportunities, and solutions. That’s why we are seeing a consolidation of analytical capabilities across the tech world, from the acquisition of Tableau by Salesforce to the creation of Microsoft’s own Power Platform. All the big tech companies have already understood that the future lies in data – more precisely, in its real-time processing – and that therefore, no matter what industry you work in,4. AI and Machine Learning are becoming force multipliers for data analysis:If you want to invest in data analytics, you will also need to invest in AI and machine learning so that you can navigate the vast and turbulent ocean of information and data that you want to put to good use. The value of artificial intelligence and machine learning in data analytics can be broken down into three distinct value propositions: speed, volume, and practicality. Speed and volume refer to the benefit of automating the analysis of large data sets as opposed to assigning human data analysts to this task. Thanks to AI and machine learning, complex data sets can now be analyzed in a fraction of the time it took just two years ago. It is not because computers are more efficient, but rather because AI and machine learning algorithms have become extremely good at data analysis, and because this analysis can be easily performed in the cloud. As for convenience, unlike the data analysis tools of the past, the addition of AI and Machine Learning has made these tools intuitive, easy to use, and much more reliable. Although they are already performing very well in 2019, their speed and accuracy are expected to improve significantly in 2020. Easy to use, and much more reliable. Although they are already performing very well in 2019, their speed and accuracy are expected to improve significantly in 2020. Easy to use, and much more reliable. Although they are already performing very well in 2019, their speed and accuracy are expected to improve significantly in 2020.5. The Blockchain goes beyond cryptocurrency:In 2019, the importance of blockchain had been overstated. But in 2020, it is possible that we will see significant use cases for this technology that go beyond cryptocurrency. We already know that Amazon Web has democratized blockchain technology with its subscription platform making this technology a service; and he’s not the only one doing it. Many other world leaders are taking the game, including Samsung, Microsoft, IBM, and China’s Alibaba. In addition, we are starting to see real use cases of this technology that go beyond payments and cryptocurrency. It suffices, for example, to look at how the blockchain will be used in the field of food security, intellectual property, and copyright, or the management of the real estate and assets. The year 2020 may well be the start of the real advent of blockchain.6. RPA gets a new lease of life:The automation of robotic processes (or RPA) is not new and is widely considered to be the easiest fruit to reach in the artificial intelligence tree, but nonetheless, it remains a very popular topic at technology and industry conferences. As interest rates and investment continue to climb, and RPA continues to prove itself as trustworthy as ever, we can expect 2020 to be a very good year for investment in this technology, all as was 2019 when you consider the sums invested in companies such as Automation Anywhere, UiPath and Blue Prism. On the other hand,7. Conversational AI becomes an authentic interface:It’s true that Siri still leaves something to be desired (most of the time), and it’s still nearly impossible to use voice recognition to write a decent text. However, it is likely that some form of conversational AI will become very useful in 2020. On the software side projects like Microsoft Conversational AI go to great lengths to build platforms that not only hear well but can also follow. Complex conversations and understanding nuances of emotion, while continuing to improve over time. As for the machine part, chips and systems for them (“SOC”), designed specifically for smart devices, become particularly good at isolating human voices in noisy environments, as well as in the precise processing of natural language in real-time. Will we see radical improvements in the technology of everyday users in 2020? Probably not – but it is more than likely that the foundations for the next generation of reliable conversational AI will be solidified in the coming year.8. The CAAA ( “PC always connected”), an irreversible transformation of the market:we are always connected, so we need PCs that are also always connected. In 2020, we can expect an increase in the number of ACPCs with 5G and LTE connectivity built-in, as well as smart business partnerships (Lenovo and Qualcomm are one example).Bonus: ACPCs tend to enjoy near all-day battery life, and might even bring laptops up to days of battery life next year, making laptops finally and truly portable.9. Connected vehicles, autonomous drones, and smart cities are becoming reality:Although we are not quite there yet, the combination of Edge Computing and 5G will bring us in 2020 even closer to autonomous cars and drones, as well as smart cities. Tesla is clearly the first name on the board in terms of going to market, but Elon Musk is not alone in trying to tackle these challenges. This transformation is happening through a close strategic alignment between automakers and technology makers. Companies like Intel / Nvidia / Qualcomm and BMW / Volvo / Ford forge partnerships, as Uber expands its fleet of autonomous vehicles and Amazon seeks to deliver drones to you at your doorstep, bringing these technologies to market for a long time to come. Promised.XaaS, UX / CX, and Privacy: Digital Transformation is about more than the sum of its technological parts. Change itself is the main driving force behind Digital Transformation, and it almost always transcends the tools that give rise to it. Because of this, it is necessary to highlight the adjacent trends in technology that are likely to be at the center of the Digital Transformation debates in 2020, i.e. XaaS (“Everything as a Service”). , UX / CX, and digital privacy.10. XaaS:All as a Service will be even more dynamic in 2020 than it has been in 2019, even in the most hardware-centric technology industries/sectors. Hewlett Packard Enterprise has announced that it will offer everything in its catalog as a service by 2022. This is only a prime example, but all of the vendors in the field appear to be moving in this direction. As we continue to observe the evolution of on-premise, off-grid, cloud, hybrid, etc. technologies, “big information technologies” will be moved to on-premise as a service, like Big Data, analysis, blockchain, etc. The All as a Service has evolved in this direction for a few years now, but 2020 will be the year when it will be quite mainstream.11. User and customer experience:As the success of the digital transformation is inextricably linked to a user and customer experience (UX / CX), the focus on this will continue to drive business investments in digital transformation. On the one hand, this is all the more true as organizations shift more and more from internal skills and improving their efficiency to the implementation of their vision. On the other hand, connectivity improvements in (5G, Wi-Fi 6), computing capacities (cloud, edge, machine learning), intelligent automation (RPA, IA), and intuitive user interfaces (conversational AI, recognition gesture, Top 10 trending technology 2020 in today’s world!12. Digital privacy:Thanks in part to a significant number of privacy breaches by tech companies in recent years, to the establishment of the General Data Protection Regulation from the EU, as well as a growing number of voices in the United States calling for controls on tech companies, we can see many of them finally taking privacy and data security seriously. Many can be expected to embrace privacy and transparency as a brand differentiator, allowing users to choose whether or not to participate in data collection systems with greater ease and awareness than ‘before. The real question will be whether companies like Amazon (via Alexa) and Facebook will join the movement or continue to quietly collect all the data they can from users. Beyond that, the possibility offered to large high-tech companies,While older, more mature core technologies will continue to be at the center of most digital transformation initiatives, especially within the enterprise, it is more than likely that these ten trends, in particular, will dominate discussions. on digital transformation and at the same time will inform the trajectory of successful digital transformation programs in 2020. If you were looking for a cheat sheet for the ten most defining trends to prepare for (and invest in) in 2020 is definitely this one. Top 10 trending technology 2020 in today’s world!

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