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Leveraging Sample and System Topics in Copilot Studio

Learn how to leverage: ✅ Sample topics for learning and practicing ✅ System topics for handling essential operations automatically ✅ Best practices for building smarter bots #CopilotStudio #ConversationalAI #BotDevelopment #AIInnovation #Automation

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Ubitium Secures $3.7M to Revolutionize Computing with Universal RISC-V Processor

New Post has been published on https://thedigitalinsider.com/ubitium-secures-3-7m-to-revolutionize-computing-with-universal-risc-v-processor/

Ubitium Secures $3.7M to Revolutionize Computing with Universal RISC-V Processor

Ubitium, a semiconductor startup, has unveiled a groundbreaking universal processor that promises to redefine how computing workloads are managed. This innovative chip consolidates processing capabilities into a single, efficient unit, eliminating the need for specialized processors such as CPUs, GPUs, DSPs, and FPGAs. By breaking away from traditional processing architectures, Ubitium is set to simplify computing, slash costs, and enable advanced AI at no additional expense.

The company has secured $3.7 million in seed funding to accelerate the development of this revolutionary technology. Investors Runa Capital, Inflection, and KBC Focus Fund are backing Ubitium’s vision to disrupt the $500 billion processor market and introduce a truly universal processor that makes computing accessible and efficient across industries.

Revolutionizing a $700 Billion Industry

The global semiconductor market, already valued at $574 billion in 2022, is projected to exceed $700 billion by 2025, fueled by increasing demand for AI, IoT, and edge computing solutions. However, traditional processing architectures have struggled to keep up with evolving demands, often relying on specialized chips that inflate costs and complicate system integration.

Ubitium addresses these challenges with its workload-agnostic universal processor, which uses the same transistors for multiple tasks, maximizing efficiency and minimizing waste. This approach not only reduces the size and cost of processors but also simplifies system architecture, making advanced AI capabilities viable even in cost-sensitive industries like consumer electronics and smart farming.

A RISC-V Revolution

The foundation of Ubitium’s processor is the open RISC-V instruction set architecture (ISA). Unlike proprietary ISAs, RISC-V fosters innovation by allowing companies to build on an open standard. Ubitium leverages this flexibility to ensure its processors are compatible with existing software ecosystems, removing one of the biggest barriers to adoption for new computing platforms.

Ubitium’s processors require no proprietary toolchains or specialized software, making them accessible to a wide range of developers. This not only accelerates development cycles but also reduces costs for businesses deploying AI and advanced computing solutions.

An Experienced Team Driving Change

Ubitium’s leadership team brings together decades of experience in semiconductor innovation and business strategy. CTO Martin Vorbach, who holds over 200 semiconductor patents, spent 15 years developing the technology behind Ubitium’s universal processor. His expertise in reconfigurable computing and workload-agnostic architectures has been instrumental in creating a processor that can adapt to any task without the need for multiple specialized cores.

CEO Hyun Shin Cho, an alumnus of the Karlsruhe Institute of Technology, has over 20 years of experience across industrial sectors. His strategic leadership has been key in assembling a world-class team and securing the necessary funding to bring this transformative technology to market.

Chairman Peter Weber, with a career spanning Intel, Texas Instruments, and Dialog Semiconductor, brings extensive industry expertise to guide Ubitium’s mission of democratizing high-performance computing.

Investor Confidence in Ubitium

The $3.7 million seed funding round reflects strong investor confidence in Ubitium’s disruptive potential. Dmitry Galperin, General Partner at Runa Capital, emphasized the adaptability of Ubitium’s processor, which can handle workloads ranging from simple control tasks to massive parallel data flow processing.

Rudi Severijns of KBC Focus Fund highlighted the reduced complexity and faster time-to-market enabled by Ubitium’s architecture, describing it as a game-changer for hardware and software integration. Jonatan Luther-Bergquist of Inflection called Ubitium’s approach a “contrarian bet” on generalized compute capacity in a landscape dominated by chip specialization.

Addressing Key Market Challenges

One of the major barriers to deploying advanced computing solutions is the high cost and complexity of specialized hardware. Ubitium’s universal processor removes this hurdle by offering a single-chip solution that is adaptable to any computing task. This is especially critical for industries where cost sensitivity and rapid deployment are paramount.

For example, in the automotive sector, where AI-powered systems like autonomous driving and advanced driver-assistance systems (ADAS) are becoming standard, Ubitium’s processors can streamline development and reduce costs. Similarly, in industrial automation and robotics, the universal processor simplifies system architectures, enabling faster deployment of intelligent machines.

Applications Across Industries

Ubitium’s universal processor is designed for scalability, making it suitable for a wide range of applications:

Consumer Electronics: Enables smarter, more cost-effective devices with enhanced AI capabilities.

IoT and Smart Farming: Provides real-time intelligence for connected devices, optimizing resource use and increasing efficiency.

Robotics and Industrial Automation: Simplifies the deployment of intelligent machines, reducing time-to-market for robotics solutions.

Space and Defense: Delivers high-performance computing in challenging environments where reliability and adaptability are critical.

Future Roadmap

Ubitium is not stopping with a single chip. The company plans to develop a portfolio of processors that vary in size and performance while sharing the same architecture and software stack. This approach allows customers to scale their applications without changing development processes, ensuring seamless integration across devices of all sizes.

The ultimate goal is to establish Ubitium’s universal processor as the standard platform for computing, breaking down the barriers of cost and complexity that have historically limited the adoption of AI and advanced computing technologies.

Transforming Human-Machine Interaction

Ubitium envisions a future where machines interact naturally with humans and each other, making intelligent decisions in real time. The flexibility of its processors enables the deployment of advanced AI algorithms, such as object detection, natural language processing, and generative AI, across industries.

This shift not only transforms the way we interact with technology but also democratizes access to high-performance computing, enabling innovation at all levels.

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The Future of Software Development: How No-Code Platforms are Driving Business Growth?

Our digital world of development landscape is experiencing an extreme shift on No Code DX Platforms. It will be a supercharger for the software development industry to rule Information Technology’s future. They are transforming the way we sneak up software platforms and are making them more penetrable, energy-efficient, and democratized.

Understanding No-Code Platforms

No-code platforms are one of the innovative game-changer for modern developers can get in the process of software development. They were developed to ease the job of developing applications and shorten the time taken to develop them.

These platforms come in the form of graphical and visual development interfaces where users can create an application by dragging and dropping some components. They rid the necessity of coding as we knew it hence opening up opportunities in software development to more people.

Here are some key features:

Drag-and-drop interfaces

Pre-built templates

Visual programming

Integration capabilities

Scalability and flexibility

These features make no-code platforms equally effective and applicable in small and large-scale businesses. They facilitate rapid application development and deployment which decreases the amount of time and money to be spent towards development.

The Evolution of No-Code Technology

The use of no-code technology is not a new concept in this world. It originated from the early periods of computing time when visual programming languages were proposed.

Thus, the technology has developed and reached maturity over the years. Today, they have turned into powerful tools that can be efficiently utilized to create versatile business applications.

The emergence of no-code tools is a reaction to demands for software development and lack of programmers. It is a solution that enables what is called “citizen developers” to develop applications without much coding expertise.

Main Characteristics and Advantages of No-Code Solutions

They come with a host of features that make them a powerful tool for businesses. These features are designed to simplify the development process and make it more efficient.

Drag-and-drop interfaces: This feature can be used to create an application where one can develop an application through using a drop-on-drop feature on a design board. As a type of programming, it is more or less visible, and logical to most people in a way.

Pre-built templates: It has been known to have its own set of templates which the users can employ as the basis for the applications that they wish to develop. It also must be noted that these templates can be further tailored to suit the nature of the business in question.

Integration capabilities: No-code platforms can interact with other applications and systems making it easier for businesses to digitize their processes and operations.

Scalability and flexibility: As they are conceived to accommodate fluctuations and changes, they may support any type and size of business, starting with the new venture.

Key Features of No-Code Platforms

Democratizing Software Creation

A great innovation of No-Code platforms is the equal opportunity it gives to anyone to develop applications. Businessmen and marketing departments, for instance, can design functional applications without necessarily having programming knowledge. No-Code platforms allow users to develop solutions by using simple drag-and-drop and adapting ready templates without involving development teams. This is where it is made perfectly even or fair for everyone concerned.

Accelerating Time-to-Market

This means that under today’s conditions and especially in the context of growing competition, speed is the most significant advantage. No-code platforms significantly help decrease development time and minimize the time spent to launch applications. It takes a small fraction of the time as it would take most companies to code new solutions, test them, and then deploy them. This ability results in a shorter time-to-market that ensures companies can respond to changes in the marketplace thereby providing them with a significant competitive advantage.

Lowering Development Costs

Unfortunately, skilled developers are not cheap to hire, and any custom coding can be very time-consuming and costly. These problems are solved by No-Code platforms since they allow teams to develop an application with less technical support. It not only reduces the development cost but also releases the pressures of IT departments from many ordinary tasks so that they can deal with more elaborate issues, making the process produce better overall effects.

Empowering Innovation

No-code platforms enable creativity since technical barriers are removed. Working in teams allows for the formation of new hypotheses quickly and the optimization of existing concepts with new possibilities. It enhances flexibility and enables businesses to expand into new sectors, switch strategies if necessary, and adapt to new trends in the constantly expanding digital world.

Seamless Integration & Scalability

Let me unwrap one of the misconceptions regarding the No-Code platforms, and that most of them are lacking in terms of functionality. The existing No-Code tools are capable of offering the integration level by which the new applications can link with the pre-existing system, database, as well as APIs. Moreover, while using No-Code platforms, companies can get tools that adapt to the company’s growth and needs but remain as much as simple as possible yet as complex as needed.

Shaping the Future of Development

In light of the ongoing trends towards digitalization in the sphere of enterprise management and operation, No-Code platforms cannot be considered as dispensable. By filtering out these constraints, they enable organisations to satisfy customer needs, introduce new products and services, and remain relevant in the market. The future of development is finally now and it has arrived through the advent of No-Code.

In Conclusion: The Future of Business Growth Lagoon’s No-Code Platforms are revolutionizing how businesses operate, making development accessible, cost-effective, and agile. Whether you’re aiming for rapid innovation, reducing development costs, or scaling effortlessly, Lagoon’s No-Code solutions provide the tools to drive sustainable business growth. The future of digital transformation is here — and it’s code-free!

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Creating and Editing Topics in Copilot Studio

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In Copilot Studio, topics are the building blocks that define how your copilot will interact with users through conversation. Topics represent portions of conversational threads between a user and a copilot, consisting of conversation nodes that dictate the flow and actions within the interaction. Whether you’re starting from scratch or using pre-built templates, Copilot Studio provides the…

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Preparing today for tomorrow's AI regulations - AI News

New Post has been published on https://thedigitalinsider.com/preparing-today-for-tomorrows-ai-regulations-ai-news/

Preparing today for tomorrow's AI regulations - AI News

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AI is rapidly becoming ubiquitous across business systems and IT ecosystems, with adoption and development racing faster than anyone could have expected. Today it seems that everywhere we turn, software engineers are building custom models and integrating AI into their products, as business leaders incorporate AI-powered solutions in their working environments.

However, uncertainty about the best way to implement AI is stopping some companies from taking action. Boston Consulting Group’s latest Digital Acceleration Index (DAI), a global survey of 2,700 executives, revealed that only 28% say their organisation is fully prepared for new AI regulation.

Their uncertainty is exacerbated by AI regulations arriving thick and fast: the EU AI act is on the way; Argentina released a draft AI plan; Canada has the AI and Data Act; China has enacted a slew of AI regulations; and the G7 nations launched the “Hiroshima AI process.” Guidelines abound, with the OECD developing AI principles, the UN proposing a new UN AI advisory body, and the Biden administration releasing a blueprint for an AI Bill of Rights (although that could quickly change with the second Trump administration).

Legislation is also coming in individual US states, and is appearing in many industry frameworks. To date, 21 states have enacted laws to regulate AI use in some manner, including the Colourado AI Act, and clauses in California’s CCPA, plus a further 14 states have legislation awaiting approval.

Meanwhile, there are loud voices on both sides of the AI regulation debate. A new survey from SolarWinds shows 88% of IT professionals advocate for stronger regulation, and separate research reveals that 91% of British people want the government to do more to hold businesses accountable for their AI systems. On the other hand, the leaders of over 50 tech companies recently wrote an open letter calling for urgent reform of the EU’s heavy AI regulations, arguing that they stifle innovation.

It’s certainly a tricky period for business leaders and software developers, as regulators scramble to catch up with tech. Of course you want to take advantage of the benefits AI can provide, you can do so in a way that sets you up for compliance with whatever regulatory requirements are coming, and don’t handicap your AI use unnecessarily while your rivals speed ahead.

We don’t have a crystal ball, so we can’t predict the future. But we can share some best practices for setting up systems and procedures that will prepare the ground for AI regulatory compliance.

Map out AI usage in your wider ecosystem

You can’t manage your team’s AI use unless you know about it, but that alone can be a significant challenge. Shadow IT is already the scourge of cybersecurity teams: Employees sign up for SaaS tools without the knowledge of IT departments, leaving an unknown number of solutions and platforms with access to business data and/or systems.

Now security teams also have to grapple with shadow AI. Many apps, chatbots, and other tools incorporate AI, machine learning (ML), or natural language programming (NLP), without such solutions necessarily being obvious AI solutions. When employees log into these solutions without official approval, they bring AI into your systems without your knowledge.

As Opice Blum’s data privacy expert Henrique Fabretti Moraes explained, “Mapping the tools in use – or those intended for use – is crucial for understanding and fine-tuning acceptable use policies and potential mitigation measures to decrease the risks involved in their utilisation.”

Some regulations hold you responsible for AI use by vendors. To take full control of the situation, you need to map all the AI in your, and your partner organisations’ environments. In this regard, using a tool like Harmonic can be instrumental in detecting AI use across the supply chain.

Verify data governance

Data privacy and security are core concerns for all AI regulations, both those already in place and those on the brink of approval.

Your AI use already needs to comply with existing privacy laws like GDPR and CCPR, which require you to know what data your AI can access and what it does with the data, and for you to demonstrate guardrails to protect the data AI uses.

To ensure compliance, you need to put robust data governance rules into place in your organisation, managed by a defined team, and backed up by regular audits. Your policies should include due diligence to evaluate data security and sources of all your tools, including those that use AI, to identify areas of potential bias and privacy risk.

“It is incumbent on organisations to take proactive measures by enhancing data hygiene, enforcing robust AI ethics and assembling the right teams to lead these efforts,” said Rob Johnson, VP and Global Head of Solutions Engineering at SolarWinds. “This proactive stance not only helps with compliance with evolving regulations but also maximises the potential of AI.”

Establish continuous monitoring for your AI systems

Effective monitoring is crucial for managing any area of your business. When it comes to AI, as with other areas of cybersecurity, you need continuous monitoring to ensure that you know what your AI tools are doing, how they are behaving, and what data they are accessing. You also need to audit them regularly to keep on top of AI use in your organisation.

“The idea of using AI to monitor and regulate other AI systems is a crucial development in ensuring these systems are both effective and ethical,” said Cache Merrill, founder of software development company Zibtek. “Currently, techniques like machine learning models that predict other models’ behaviours (meta-models) are employed to monitor AI. The systems analyse patterns and outputs of operational AI to detect anomalies, biases or potential failures before they become critical.”

Cyber GRC automation platform Cypago allows you to run continuous monitoring and regulatory audit evidence collection in the background. The no-code automation allows you to set custom workflow capabilities without technical expertise, so alerts and mitigation actions are triggered instantly according to the controls and thresholds you set up.

Cypago can connect with your various digital platforms, synchronise with virtually any regulatory framework, and turn all relevant controls into automated workflows. Once your integrations and regulatory frameworks are set up, creating custom workflows on the platform is as simple as uploading a spreadsheet.

Use risk assessments as your guidelines

It’s vital to know which of your AI tools are high risk, medium risk, and low risk – for compliance with external regulations, for internal business risk management, and for improving software development workflows. High risk use cases will need more safeguards and evaluation before deployment.

“While AI risk management can be started at any point in the project development,” Ayesha Gulley, an AI policy expert from Holistic AI, said. “Implementing a risk management framework sooner than later can help enterprises increase trust and scale with confidence.”

When you know the risks posed by different AI solutions, you can choose the level of access you’ll grant them to data and critical business systems.

In terms of regulations, the EU AI Act already distinguishes between AI systems with different risk levels, and NIST recommends assessing AI tools based on trustworthiness, social impact, and how humans interact with the system.

Proactively set AI ethics governance

You don’t need to wait for AI regulations to set up ethical AI policies. Allocate responsibility for ethical AI considerations, put together teams, and draw up policies for ethical AI use that include cybersecurity, model validation, transparency, data privacy, and incident reporting.

Plenty of existing frameworks like NIST’s AI RMF and ISO/IEC 42001 recommend AI best practices that you can incorporate into your policies.

“Regulating AI is both necessary and inevitable to ensure ethical and responsible use. While this may introduce complexities, it need not hinder innovation,” said Arik Solomon, CEO and co-founder of Cypago. “By integrating compliance into their internal frameworks and developing policies and processes aligned with regulatory principles, companies in regulated industries can continue to grow and innovate effectively.”

Companies that can demonstrate a proactive approach to ethical AI will be better positioned for compliance. AI regulations aim to ensure transparency and data privacy, so if your goals align with these principles, you’ll be more likely to have policies in place that comply with future regulation. The FairNow platform can help with this process, with tools for managing AI governance, bias checks, and risk assessments in a single location.

Don’t let fear of AI regulation hold you back

AI regulations are still evolving and emerging, creating uncertainty for businesses and developers. But don’t let the fluid situation stop you from benefiting from AI. By proactively implementing policies, workflows, and tools that align with the principles of data privacy, transparency, and ethical use, you can prepare for AI regulations and take advantage of AI-powered possibilities.

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Microsoft Power Platform Online Training | Power Apps Online Training

How Do Power Apps and Power Automate Work Together?

Introduction

Microsoft Power Platform Online Training is becoming increasingly popular as businesses seek tools to streamline operations and automate processes. Among the tools offered in this platform, Power Apps and Power Automate stand out as dynamic solutions for building custom applications and automating workflows. Understanding how these two tools work together can greatly enhance business efficiency, making them essential for organizations aiming to achieve digital transformation. By leveraging Power Apps Online Training, professionals can learn how to integrate these tools effectively, maximizing their potential to drive automation and custom app development.

Creating End-to-End Business Solutions with Power Apps and Power Automate

Power Apps and Power Automate are part of the larger Microsoft Power Platform, designed to work seamlessly together to create custom solutions. Power Apps allows users to build low-code or no-code applications tailored to specific business needs. These applications can connect to various data sources such as SharePoint, Microsoft Dynamics 365, or even third-party systems. On the other hand, Power Automate focuses on automating repetitive tasks and workflows, which reduces manual effort and enhances productivity. When combined, Power Apps acts as the front-end interface, while Power Automate handles the automation behind the scenes. This combination makes it possible for businesses to not only create apps but also automate tasks like sending notifications, approving requests, or syncing data across platforms. For example, an app built with Power Apps could trigger a flow in Power Automate to update a customer record in Dynamics 365 after an order is placed.

Another key benefit of using Power Apps Online Training alongside Power Automate is the ability to enable complex workflows within a user-friendly interface. Instead of writing intricate code, users can drag and drop elements within Power Apps to create functional applications, while Power Automate automates processes that operate in the background. These workflows can range from simple approval processes to more sophisticated operations like integrating with external systems or performing conditional actions based on specific triggers. Additionally, the combination of Power Apps and Power Automate allows businesses to respond quickly to changing needs without requiring extensive development time. As a result, organizations can improve their agility and reduce operational bottlenecks, allowing them to focus on more strategic initiatives.

Furthermore, Microsoft Power Platform Online Training ensures that users are equipped with the necessary skills to integrate these tools and create end-to-end business solutions. A common use case is in automating approval workflows. For instance, a company can use Power Apps to create a form for employee expense submissions, which is then automatically routed through Power Automate to relevant managers for approval. Notifications can be sent, and once the approval is given, the data is updated in a central system like SharePoint or Dynamics 365. This type of automation not only reduces manual errors but also speeds up internal processes, ensuring timely decision-making. By mastering these tools through online training, businesses can realize the full potential of the Microsoft Power Platform, transforming the way they operate and interact with data.

Conclusion

In conclusion, Microsoft Power Platform Online Training offers a powerful way to learn how Power Apps and Power Automate work together to create efficient and automated business processes. By combining the customization of Power Apps with the automation of Power Automate, organizations can streamline their workflows, reduce manual tasks, and improve productivity. Whether it's creating custom apps or automating complex business processes, these tools, when used together, provide a comprehensive solution that empowers businesses to focus on innovation and growth. Investing in Power Apps Online Training ensures that professionals are well-equipped to maximize the benefits of these powerful tools, driving better business outcomes.

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Enable email validation in Dynamics 365 Sales

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