Autore: martechcubejohn

In today’s digital era, the merge of artificial intelligence (AI) and the Internet of Things (IoT) has kicked off a tech revolution that tends to reshape numerous industries across the globe with a vision that this transformation helps businesses enhance efficiency and drives innovations at an unprecedented pace.

For a better understanding, IoT is all about an extensive network of connected devices with an embedded sensor that collects and transfers large-scale data that is processed according to the behavior and patterns of the user to make the correct decision at the right time.

On the other hand, artificial intelligence (AI) is a technology that imitates human intelligence and behavior in computer systems, further enhanced by learning and experimenting, to develop new behaviors and skills.

These technologies, together, can solve real-world problems and create new products for businesses to enhance the customer-digital experience. This article explores the opportunities and approaches of AI and IoT that will revolutionize market paradigms.

Five Skills to Stay Relevant and Competitive in the Age of IoT and AI

The scope of implementation and importance of IoT and AI determine the need for qualified IT professionals; however, the demand for experts in these technologies requires certain technical and soft skills.

Below, we have reviewed some wanted skills that are required in an IT professional to succeed in IoT and how they can boost their career profile:

Artificial Intelligence and Machine Learning

AI and machine learning (ML) have become key technologies that have reshaped the IT field. To excel, IT engineers and IoT developers need to have a good understanding of ML and AI technologies, as these technologies are the base of developing tools and frameworks that are essential to developing IoT devices and AI applications that are further used in various application areas, like automotive, manufacturing, finance, and healthcare. Learning and understanding where and how to implement ML algorithms with the help of data sensors are used to develop smarter appliances.

The skill of big data management will be useful for predictive analytics, which is based on identifying data patterns. The IT engineers and IoT developers should also have knowledge of popular ML libraries such as Kera and Tensorflow and the ability to program in languages such as R, Python, and C++.

IoT Systems and Networking

The Internet of Things (IoT) is a blooming field in the IT industry that involves connecting physical devices (motion sensors, smart glasses, VR headsets, smart devices, trackers, drones, etc.) to the Internet. To be a master, IT engineers, and IoT developers need to have a better understanding of the IoT concept and technologies to develop robust and seamless connected devices that require a unique user interface (UI). The knowledge about IoT includes networking protocols such as Bluetooth, Zigbee, and Wi-Fi; engineers and developers should also be familiar with IoT platforms such as AWS IoT and Microsoft Azure. IT professionals who have good UI skills in visual design, analytics, wireframing, and prototyping excel at developing satisfactory devices.

To Know More, Read Full Article @ https://ai-techpark.com/exploring-the-intersection-of-ai-and-iot/

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What is your vision for the future of robotics and its potential to further transform industries, education, and society as a whole?

Robotics has significant transformative potential. They will make industries more efficient and adaptable, introducing new business models and changing how sectors like healthcare and manufacturing operate. Robots can address challenges like elder care and urban efficiency.

They can also offer students hands-on learning, making education more tailored and effective. It’s not just about learning robotics; it’s about learning with them.

My vision for the future of robotics includes machines working alongside us, specifically in a more inclusive, equitable, and innovative world where technology amplifies the best of human capabilities.

Can you please provide a brief overview of RobotLAB and its significance in the field of robotics?

Since its founding in 2007, RobotLAB has provided turnkey robotics solutions to companies of all sizes in industries including foodservice, hospitality, banking, education, assisted-living, education, cleaning, delivery and hospitals. Our talented team of roboticists has effectively deployed thousands of robots that have provided businesses with a clear path to the successful and highly specialized integration of robotics solutions.

As labor becomes increasingly expensive and scarce, we help businesses harness the power of robotics to improve bottom-line and employee retention by reallocating routine tasks to automated technologies. Our team oversees all aspects of the robotics integration process – from sales, tailored programming, on-site integration and repairs – to ensure businesses can access and understand solutions that will dramatically improve their performance. To improve the availability of robotics access nationwide, we recently launched a first-of-its-kind robotics integration franchise opportunity in 40 U.S. states, with the remainder set to clear before the end of 2023.

How do you see the relationship between humans and robots evolving as technology continues to advance?

As technology advances, the relationship between humans and robots will become more collaborative. Robots are tools, designed to enhance human capabilities. As they become more integrated into our daily lives, they’ll be seen less as distant machines and more as extensions of our own capacities.

In education, for instance, robots will serve as learning aids, making educational experiences more personalized and interactive. In industries, they will work alongside humans, taking on repetitive tasks and allowing us to focus on more value-added activities.

Elad Inbar is the founder and CEO of RobotLAB, a unique company dedicated to making robots smart and useful in multiple industries, including education, hospitality, restaurants, hotels, assisted living facilities, etc. His current ventures in robotics and education have received wide publication and recognition in Time Magazine, The New Yorker, Tech Crunch, IEEE, NBC, Financial Times, Fast Company, CNET, San Francisco Chronicle and other media outlets. He shares his experience as a keynote speaker in many events such as SxSW, National Restaurant Association, Florida Lodging and Restaurant Association, and TCEA, ACTE, FETC and many others. Elad also sits on the Forbes Technology Council.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-elad-inbar/

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In recent years, automation and artificial intelligence (AI) have witnessed a surge in popularity, and it’s anticipated to expand as organizations become more dependent on AI solutions to address issues. Numerous tech giants, like Amazon, Apple, and Alibaba, have already started to explore the possibilities of implementing AI and robotics in their organizations.

The introduction of robots into the workplace is set to alter how C-level decision-makers will do business, as they need to share space with robots as coworkers and learn new skills as robots will gradually take over tedious and dangerous tasks on behalf of their employees. There will be a shift in job responsibilities and obligations, creating bandwidth for strategic planning for better business development in sections where robotics are not utilized. Functional leaders in customer-facing roles may identify the best methods to serve clients and use automation to deliver personalized products and services on demand.

Robotics is becoming a game changer in various industries throughout the world.

Chief Operating Officers (COOs)

COOs will play an important role in transforming the workplace by integrating AI and robotics, creating a digital strategy for automating services, and streamlining operations. Thus, COOs will drive and manage the organization’s transformation into a human-robot workforce; however, they must update their knowledge of technologies by understanding the changes and how they can affect the business. For instance, in a manufacturing company, the role of COOs will be to assess the need for automation technologies like IoT and blockchain in a department. After evaluation, they should come up with an investment strategy by analyzing how AI and robots will reshape the manufacturing industry and streamline the supply chain.

Chief Information Officers (CIOs)

CIOs will have to adjust to technology issues and work closely with other C-suits as they navigate a new landscape of risk and compliance. They will have the liberty to explore and evaluate the areas of data management, analytics, and cybersecurity. With automation technology and robot workers having a positive impact on the organization, CIOs will witness changes in function becoming more deeply integrated.

Other tech leaders, like CTOs and CDOs, may be joined by Chief Robotics Officers (CROs), who will help in navigating how robots will perform, providing robust road maps, and setting strategies for future developments.

Robotics and artificial intelligence (AI) will change the workplace as some job roles will be replaced by robots and automation, but the technology will also lead to the creation of new jobs and highly valued responsibilities. This development will also affect the C-suite, as robots will minimize their responsibilities and help in creating robust strategies in this digital era. Large-scale enterprises and SMEs must prepare their employees for collaboration with new technologies by providing adequate L&D opportunities, upskilling, reskilling, and giving them the bandwidth to accept the change.
To Know More, Read Full Article @ https://ai-techpark.com/robotics-is-changing-the-roles-of-c-suites/

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Chatbots, powered by artificial intelligence (AI), are fundamentally changing how businesses operate and enhancing productivity and efficiency. Chatbots are computer programs designed to simulate conversation with human users via text or voice. From simple FAQ bots to complex virtual agents, chatbots are automating business processes and transforming how companies interact with customers and employees. The industry is still at the nascent stage but holds great promise and potential for the future.

In this post, we’ll explore the key ways chatbots are improving business productivity and efficiency.

Driving Business Efficiency

As AI systems, chatbots continuously improve through machine learning. They utilize data from past interactions to deliver ever more accurate responses and perform tasks more efficiently over time. Natural language interfaces allow chatbots to understand context and intent, engage in complex dialogue, and complete tasks just as a human assistant would. Companies are leveraging the technology to come up with optimal marketing strategies with AI and chatbots.

From customer service agents to sales reps and administrative staff, chatbots are taking on roles humans performed in the past at lower cost and with higher consistency. They don’t need holidays, sick days, or coffee breaks.  For many routine, repetitive tasks, chatbots simply offer a more efficient alternative. Intelligent chatbots are providing tremendous ROI through increased productivity and cost savings. But there are still domains where chatbots can’t function properly. Human touch and help are required in the form of on-demand tech support for various things like cybersecurity, cloud, office printer setup, computers, and network help.

Transforming Customer Experience

Today’s customers expect ultra fast, personalized, and seamless experiences. Intelligent chatbots provide a superior level of convenience by serving customers anytime, anywhere at the pace they expect. With NLP and machine learning, chatbots analyze customer data and past interactions to make recommendations and tailor experiences to individual needs and preferences.

Chatbots are revolutionizing industries from e-commerce retail to banking and travel. They minimize wait times, reduce human errors, and allow staff to focus on higher value functions like complex problem solving and building customer relationships. By streamlining the customer journey, chatbots drive satisfaction, loyalty, and revenues.

From large enterprises to smaller businesses, chatbots are fundamentally changing how companies operate; enhancing productivity, efficiency, and the customer experience. By automating repetitive tasks and processes, chatbots enable staff to focus on more meaningful, revenue-driving work. With intelligent self-learning capabilities, chatbots will only expand their capabilities and business value over time. Its clear conversational AI is transforming engagement across industries, delivering tangible returns on investment, and driving competitive advantage.
To Know More, Read Full Article @ https://ai-techpark.com/impact-of-chatbots-on-business-productivity-and-efficiency/

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In this technologically dominated era, the integration of artificial intelligence (AI) has become a trend in numerous industries across the globe. With this development of technology, AI brings potential risks like malicious attacks, data leakage, and tampering.

Thus, companies are going beyond traditional security measures and developing technology to secure AI applications and services and ensure they are ethical and secure. This revolutionary discipline and framework is known as AI Trust, Risk, and Security Management (AI TRiSM), which makes AI models reliable, trustworthy, private, and secure.

In this article, we will explore how chief information security officers (CISOs) can strategize an AI-TRiSM environment in the workplace.

Five Steps on How C-suite Can Promote Trustworthy AI in Their Organization 

The emergence of new technologies is likely to drive more potential risks; however, with the help of these five essential steps, CISOs and their teams can promote AI TRiSM solutions:

Defining AI Trust Across Different Departments

At its core, AI trust is the confidence that employees and other stakeholders have in a company that governs its digital assets. AI trust is driven by data accessibility, transparency, reliability, security, privacy, control, ethics, and responsibility. A CISO’s role is to educate employees on the concept of AI trust and how it is established inside a company, which differs depending on the industry and stakeholders. 

Develop an AI trust framework that helps achieve your organization’s strategic goals, such as improving customer connections, maximizing operational excellence, and empowering business processes that are essential to your value proposition. Once built, implement methods for measuring and improving your AI trust performance over time.

Ensure a Collaborative Leadership Mindset

As IT organizations rely on technology for back-office operations and customer-facing applications, IT leaders face the challenge of balancing business and technical risks, potentially leading to prioritizing one over the other.

CISOs and IT experts should evaluate the data risks and vulnerabilities that may exist in various business processes, such as finance, procurement, employee benefits, marketing, and other operations. For example, marketing and cybersecurity professionals might collaborate to determine what consumer data can be safely extracted, how it can be safeguarded, and how to communicate with customers accordingly.

As a CISO, you can adopt a federated model of accountability for AI trust that unites the C-suite around the common objective of seamless operation without hampering customers’ and organizations’ data. 

In conclusion, as businesses grapple with growing datasets and complicated regulatory environments, AI emerges as a powerful tool for overcoming these issues, ensuring efficiency and dependability in risk management and compliance. AI Trust, Risk, and Security Management (AI TRiSM) may assist businesses in protecting their AI applications and services from possible threats while ensuring they are utilized responsibly and compliantly.
To Know More, Read Full Article @ https://ai-techpark.com/tackling-ai-trism-in-ai-models/

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Can you provide a brief overview of your background and your current role as the Co-founder and CEO at BeyondID?

I have over 20 years of building and leading enterprise software and services companies. As CEO, I’m committed to building a world class organization with the mission of helping our customers build secure, agile, and future-proof business. I pride in partnering with customers to strategize and deploy cutting edge technology that delivers top business results.

Prior to co-founding BeyondID, I worked at Oracle, Sun Microsystems, SeeBeyond and most recently Okta, which went public in 2017. At Okta, I was responsible for delighting customers and for building world class services and customer success organizations.

The misuse of AI and deep fakes is becoming a serious concern in the realm of identity and security. Could you share your thoughts on how bad actors are leveraging these technologies to compromise trust and security?

The use of AI-powered deepfakes to create convincing images, audio, and videos for embarrassing or blackmailing individuals or elected officials is a growing concern. This technology can be used for extortion and to obtain sensitive information that can be used in harmful ways against individuals and businesses. Such actions can erode trust and harm society, as individuals may question the authenticity of genuine content, primarily if it depicts inappropriate or criminal behavior, by claiming it is a deepfake. Malicious actors can also use AI to mimic legitimate content and communications better, making it harder for email spam filters and end users to identify fraudulent messages and increasing phishing attacks. Automated AI attacks can also identify a business’s system vulnerabilities and exploit them for their own gain.

In the context of a zero-trust framework, could you explain the concept of verifying and authenticating every service request? How does this approach contribute to overall security?

The Zero Trust philosophy is founded on the belief that nobody can be fully trusted, and so it is essential to always authenticate any service request to ensure its authenticity. This can only be achieved through the authentication, authorization, and end-to-end encryption of every request made by either a human or a machine. By verifying each request, it is possible to eliminate unnecessary access privileges and apply the appropriate access policies at any given time, thereby reducing any potential difficulties for service requestors while providing the required service.

In conclusion, what would be your key advice or message to organizations and individuals looking to strengthen their security measures and ensure trust in an AI-driven world?

Consider adopting Zero Trust services as the fundamental principle for planning, strategizing, and implementing security measures in your organization. The Cybersecurity Infrastructure Security Agency (CISA) has recently released a Zero Trust Maturity Model that provides valuable guidance on implementing Zero Trust Security. Identity-First Zero Trust Security is the most effective approach to Zero Trust because it focuses on using identity as the main factor in granting access to human and machine services.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-arun-shrestha/

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Artificial Intelligence will improve our lives in many ways, from safe, automated mobility to time-saving tasks. With constant innovation, AI systems will become far more capable, possibly equaling or exceeding human-level performance at most intellectual tasks.

AI is one of the most important technologies of our time and its impact is comparable to the industrial and scientific revolutions. For business leaders to utilise AI’s full capabilities it’s crucial to ensure AI is aligned with human intent and the promise of the AI product itself.

The best way to express your intent is to review examples of how the algorithm behaves and provide feedback. Human feedback can be used to steer AI products very efficiently by shaping the evolving dataset to reflect the developers’ intentions and user expectations.

What is AI alignment and why is it important?

AI alignment is a field of AI safety research that aims to ensure that AI systems achieve their desired outcomes and work properly for humans. It aims to create an end-to-end process where an AI-based system can align its output with desired human preferences.

Imagine playing darts, or any game for that matter, but not agreeing on what the board looks like or what you get points for. If the designer of an AI system cannot express consistent and clear expectations through feedback, the system won’t know what to learn.

It all comes back to iteration

Contrary to common belief, AI alignment is not actually a technology problem, it’s a people problem. Ultimately, the ability of the AI system to learn the right kind of rules comes down to the ability of the product developer or service provider to express what it is that they want the product to do.

If we don’t figure out a better way to do this, we will see a lot of disappointment in the next few years and it’s going to be very difficult to realise the potential of AI. So, it’s in our collective interest to get this right. If business and technology leaders can collaborate closely on alignment, it will help create better products and in turn benefit humans day to day-to-day lives.

We live in a fast-changing world, and expectations evolve quickly. If you assemble a large dataset, you must expect it to evolve. The challenge now is to shape your data with this evolution in mind which in turn informs your AI products. Alignment is the way forward, and the key is to approach it with an iterative mindset. The challenge now is to explore and shape your data with this evolution in mind which in turn informs your AI products.To Know More, Read Full Article @ https://ai-techpark.com/understanding-ai-alignment/
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While there’s no shortage of uncertainty as we countdown to 2024, the crystal ball seems to have a few things in focus for the next trip around the sun. From the long-anticipated shift from third-party cookies to first-party data to the harnessing of AI and the evolution of eCommerce, here are five key tech trends set to shape how brands connect with customers.

The race for first-party data

Brands will be turning to publishers to harness their vast contextual and enriched datasets from either registered users or gleaned from the type of content being consumed in real-time. Combinations of both publisher and advertiser data via data cleanrooms have been a topic of interest and will be interesting to see how this is picked up over the year.

The shift promises contextual interest targeting, enabling a more precisely tailored match for brands between creative and audiences. The focus on sharper targeting translates into reaching the right audience with specific intent, ultimately, leading to increased conversion rates and effectiveness.

eCommerce to continue upward trajectory

We’re witnessing the takeoff of eCommerce across the board, supercharged from the shift during lockdown as businesses of all sizes realised the value of having a direct relationship with their consumers. On top of the sale, eCommerce is allowing advertisers to own the data relating to the customer and the sale, which is a huge factor in the boom.

eCommerce will see sustained growth as brands demonstrate a willingness to invest in channels that streamline the conversion process and build that direct line to their customers. We’re seeing a take-up of in-banner transactions, shoppable video, contextual targeting and dynamic eCommerce ads already playing a pivotal role in the transformation.

Harnessing AI

AI is quickly moving from a novelty to being embedded within a multitude of platforms to increase effectiveness and revolutionising the landscape, both on the overall marketing function and the specific ways we engage with technology. This includes from a generative perspective of creating content and messaging to getting a better handle on insights and planning, particularly with the abundance of first-party data. The wealth of information from this data will serve as a fertile ground for extensive learning and the development of models tailored to audience insights.

Surge in digital outdoor and connected TV channels

In the coming year, brace for a significant expansion in alternative advertising channels, particularly digital outdoor and connected TV. We anticipate substantial growth and innovative strategies as these channels evolve to become pivotal players in the advertising landscape. We have even been seeing clients connecting their digital out-of-home and digital display campaigns with live data, meaning interactions with the digital campaign can be relayed to the digital out-of-home screens – another space to watch.

To Know More, Read Full Article @ https://ai-techpark.com/ai-ecommerce-advertising-trends/

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For many years, there have been two routes that businesses take on their way to application development: buying ready-made apps from an external vendor or building these apps from scratch using skilled developers and codes.

However, in the last few decades, the scenarios have changed with the rise and growth of sophisticated low-code/no-code (LC/NC) development. This is a great alternative that brings the power of application development to users across different industries.

Further, low-code/no-code (LC/NC) applications provide a close fit to different business requirements, as they can be implemented quickly and cost much less than a system developed in-house.

So, the use of LCNC tools brings the potential for increased user accessibility, which promotes more innovation and relieves the load on IT departments. The adoption of LCNC platforms is the next step in making application development simple and accessible to everyone.

In this article, we will explore more about low-code and no-code through use cases and how they can benefit your business.

What is Low-code?

Low-code is a way of designing and building programs that use simple graphical tools and embedded functionality to eliminate the need for traditional or pro-code writing. Users may reduce their workload by utilizing low-code platforms that use tools to speed up and simplify certain operations. Examples include testing, troubleshooting, and development. These low-code app development platforms walk users through the process of building an app with tools.

What is No-code?

As the name implies, no-code does not require any code.  No-code app development platforms have pre-designed interfaces, which users may customize using visual tools. This enables non-technical business users to create apps without writing a single line of code. 

How Do Low-code and No-code Tools Work?

The foundation of low-code development platforms (LCDPs) and no-code development platforms (NCDPs) is built on the ideas of visual programming, model-driven design, and automated code generation. Regardless of coding skills, these platforms are purposefully made to appeal to non-technical users who are acquainted with the procedures and workflows inside their business department.

According to a recent Gartner survey, by 2024, almost 65% of applications developed globally will leverage LCNC platforms. The predicted growth rate for this is a sharp 165% per two years. So, when businesses start using LCNC technologies, the number and complexity of non-technical users rapidly increase as individuals realize the value of quick and precise app creation in nearly any business field.

To Know More, Read Full Article @ https://ai-techpark.com/low-code-and-no-code/

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In the current business landscape, artificial intelligence (AI) is revolutionizing the way companies conduct experiments across the organization. This transformative approach is not just about automating processes through robotics, but redefining the very essence of experimentation. AI’s capabilities in designing experiments, learning from outcomes, and moving beyond traditional A/B testing are opening new frontiers for businesses as it allows them to identify previously unavailable opportunities and drive innovation.

Expanding Beyond Traditional A/B Testing

The evolution of experiments with AI extends beyond the limits of conventional A/B testing, where singular outcomes are manually analyzed. AI enables the exploration of a myriad of micro-changes, each potentially leading to significant insights.

Unlike traditional methods where experiments are often binary, AI can test a multitude of variations simultaneously. This capability allows businesses to explore a vast array of options quickly. In the context of website optimization, instead of just testing two versions of a webpage, AI can simultaneously test hundreds of variations, analyzing how minute changes in design, content, or layout affect user engagement.

AI’s ability to test numerous variations also comes with the capacity to analyze and extract meaningful insights from these tests. This is crucial in environments where small changes can have significant impacts. For instance, in financial services, AI can test numerous investment strategies over vast data sets, quickly identifying approaches that yield the best returns under different market conditions.

Another critical aspect of AI-driven experimentation is its capability for real-time analysis and adaptation. Traditional experiments are often static with analysis occurring post-experiment. AI, however, can analyze data in real-time, adapting the experiment as it progresses. This is especially beneficial in fast-changing environments like social media, where consumer preferences can shift rapidly.

The integration of AI into experimental processes marks a paradigm shift in how businesses approach innovation and problem-solving. By assisting in designing experiments, learning from outcomes, and moving beyond traditional A/B testing, AI is enabling companies to explore a broader spectrum of possibilities.

To Know More, Read Full Article @ https://ai-techpark.com/ai-driven-experimentation-revolution/

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