Autore: martechcubejohn

Generative AI (GenAI) has the potential to automate a broad range of tasks, which boosts productivity, offers new opportunities, and reduces costs as it does not require technical skills to use generative AI tools or software and is widely available. Tech visionaries believe that GenAI will be accessible to workers worldwide to access information and skills across broader roles and business functions. This makes generative AI one of the most disruptive trends of this decade. According to Gartner, by 2026, more than 80% of companies will have employed generative AI APIs and models and implemented GenAI-enabled apps in production environments, compared to less than 5% in 2023.

In this article, we will explore what democratized generative AI is, how it works, and its current applications.

What is Democratized Generative AI?

Traditionally, artificial intelligence (AI) technologies were limited to technical experts; however, the growing availability of democratized generative AI marks the beginning of a paradigm shift in the technology landscape. The democratized GenAI aims to make AI technology more accessible to a wider range of audiences and focuses on providing user-friendly tools and platforms that allow users to create and interact with AI-powered models.

Democratization enables users from various fields, such as journalism, marketing, the arts, and others, to leverage AI algorithms and models to enhance their tasks and gain valuable insights from the given data.

Why Is Generative AI Democratization so Transformational?

At its core, generative AI democratization revolves around numerous data sources and insights from which numerous businesses and institutes can benefit. From decision-making in business to better public services in government sectors, generative AI reduces business costs by, for example, cutting expenditures and supporting development in working on important tasks.

Here are some specific areas where democratized generative AI can be transformational:

Reducing Entry Barriers

AI democratization reduces the entry barriers to using AI and machine learning (ML) algorithms for businesses and individuals so that they can use open-source datasets to train their AI models across any corner of the world without any financial investment.

To Know More, Read Full Article @ https://ai-techpark.com/paving-the-path-to-democratized-generative-ai/

Read Related Articles:

What is ACISafeguarding Business Assets

Can you tell us about your background and journey that led you to establish cyberconIQ?

I am both an academic and a consultant/entrepreneur who has been studying technology trends, information privacy and security issues and considering the impact of disinformation on society for many years.  In both my professional practice and personal experience, cybersecurity – and now AI which will rapidly transform this important issue even further – are technology problems with a human dimension that more technology alone cannot fix.  So we need to blend psychology and technology better together in order to address the human elements of cybersecurity risk with proven behavioral science methods instead of simply pretending that humans are programmable like machines – they are not.  Knowing something is not the same as doing something, so we founded cyberconIQ to create pathways to voluntary changes in user behavior that creates a security 1st culture inside any organization more effectively than generic training that is unengaging and has proven to not have any meaningful impact on user behavior.

Dr. Norrie, could you please explain how cyberconIQ’s proprietary platform utilizes behavioral psychology to measure and manage personalized cybersecurity training and education programs?

By blending in proven elements of behavioral science including trait-based personality theory, understanding habituation and pattern interrupts as well as  the value of supporting humans as part of the solution instead of the problem, we EMPOWER  humans as your last line of organization defense against increasingly sophisticated attacks. Additionally, we can prove in side-by-side client studies that we can virtually eliminate phishing as a significant risk to your organization using this patented method.

Often, there is a gap between the technology implemented by organizations and the potential for human error. How can individuals and organizations bridge this gap to create a more robust cybersecurity posture?

I opened with the premise that more technology cannot solve a problem that new technology originally created.  That is because for most technologies, there is still an operator who is a human.  And humans are not programmable just because they are told what they should do, does not mean that they will do it.  So how do you inspire individuals to think of themselves not as a weak link in the chain, but the strongest?  And then use that dedication to new security habits to improve your organizations overall security posture one human and one style at a time?  And it works. Very well.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-dr-james-norrie-founder-of-cyberconiq/

Read Related Articles:

Guide to the Digital Twin TechnologyRevolutionize Clinical Trials through AI

In today’s competitive world, the various sectors are at a crossroads. Companies following traditional approaches are struggling to keep pace with the fast pace of digital transformation.

So, the pace of the ongoing digital transformation demands a shift in paradigm with the help of intelligent applications (I-apps), which imbue the power of artificial intelligence (AI) and machine learning (ML) to automate tasks, get insights, and drive better decision-making that has the potential to reshape the future of various sectors.

Why Are Intelligent Apps Important for Business?

Intelligent apps are capable of continually learning the environmental, behavioral, and emotional patterns of users while completing the tasks assigned to them.  The applications are meant to forecast your requirements and present them as relevant information, ideas, or recommendations using predictive analysis, prescriptive analysis, operational vision, and product insights. Chatbots, virtual assistants, and recommendation engines on e-commerce sites are just a few examples of intelligent applications.

Let’s consider an example of Slack, a popular collaboration application that provides channels for team communication, file sharing, and connections with other productivity apps.

How Do Intelligent Apps Work?

Intelligent applications are not just clever software; they are built on a foundation of powerful technologies that enable their unique capabilities by empowering software developers to create intelligent apps that automate tasks, analyze data, and predict outcomes. Let’s take a quick glimpse into the mechanics behind how this application works:

AI and ML Technologies

Intelligent apps lie in AI and ML, as these technologies enable apps to process vast amounts of data, learn patterns, make predictions, and adapt their behavior intelligently.

Low-code and No-code Platforms

Democratizing app development, these platforms allow software developers with varying skill levels to create intelligent apps without extensive coding knowledge. These platforms provide visual interfaces, pre-built components, and drag-and-drop functionalities, making intelligent AI-powered app development more accessible.

Data Integration

Intelligent applications need seamless integration with various data sources, including databases, cloud platforms, and IoT devices, to make intelligent decisions and provide personalized experiences.

To Know More, Read Full Article @ https://ai-techpark.com/why-intelligent-applications-are-no-longer-an-option-for-business/

Read Related Articles:

Safeguarding Business AssetsCloud Computing Frameworks

Could you delve deeper into Lookout’s strategy for achieving its mission of ensuring a secure digital future?

As the leading provider of Data-Centric Cloud Security, we work to set a new standard for helping businesses protect the sensitive data and information they care about most. Today, the boundary between enterprise and personal data has all but disappeared.  A common software vulnerability can compromise a large, global company, which in turn can expose the personal information of millions of its customers.  And the reality is that regardless of corporate policies, people use the device that is in front of them to do both business work and personal tasks. People work from home, where the pace of corporate work intermeshes with the demands of home and family. An organization’s employees have personal presence on social media, and the history of data breaches combined with privacy-invasive tracking mean that there is an enormous amount of data about employees in the dark web, and attackers, who always use the easiest and least defended path to attack, are targeting employees as a means to gain access to enterprise data.

This reality requires a bold new approach to data protection—one that’s easy, automatic, and transparent. Our mission is to secure and empower productivity while keeping privacy a top priority in a world where work can happen anywhere. We do this by offering both mobile threat defense and security service edge (SSE) solutions to enterprise and government organizations.

Many individuals express concerns that AI might potentially compromise digital security. In the light of this, could you elaborate on Lookout’s perspective and approach towards leveraging AI, as exemplified by Lookout SAIL, to enhance cybersecurity effectiveness?

AI is playing an increasingly important role in cybersecurity. In fact, last year, Acumen Research and Consulting put out a report valuing the global market for AI-based cybersecurity products at $14.9 billion in 2021 with an estimated value of $133.8 billion by 2030. However, many say hackers are reaping the benefits as well, considering AI-generated phishing emails have higher rates of being opened than manually crafted phishing emails. So it’s important to be mindful when creating and deploying AI-powered products. For us, we thought about what our customers need the most in light of talent shortages in the industry and decided on a generative AI assistant to help them use our Lookout Mobile Endpoint Security and Lookout Cloud Security solutions to the fullest and with significant time savings.

To Know More, Read Full Interview @ https://ai-techpark.com/a-50-year-journey-in-cybersecurity-and-innovation/
Read Related Articles:

Information Security and the C-suite

Automated Driving Technologies Work

Artificial intelligence (AI) holds an essential role in reshaping various industries and driving progress, as it can process vast amounts of data and derive valuable insights, enabling IT professionals, researchers, scientists, and more in various industries to make smarter and more data-driven decisions. This reliance on making decisions and executing tedious tasks can be eased with generative artificial intelligence (Generative AI or Gen AI), as it helps generate innovative solutions and strategic foresight by interpreting data on a large scale.

In recent years, with the popularity of generative AI tools like ChatGPT, PyCharm, Midjourney, Speak AI, and many more, businesses have been able to generate new ideas, solutions, and content faster, which helps streamline operations and allows businesses to stay ahead of a competitive and ever-evolving market.

This article delves into how generative AI works, the popular applications, and the use cases across industries.

How Does Generative AI Work?

Generative AI models use neural networks to identify patterns and structures with the help of existing data in the form of audio, text, or visuals to generate new and original content for their users. For instance, a popular application like GPT-3 allows users to generate essays based on short text requests.

With this data, generative AI can then step beyond just generating imitative content and also create a realm for multi-tasing and even create foundation models with the help of unsupervised or semi-supervised learning for training. For example, one stable diffusion, which is used as a base for AI systems to perform multiple tasks, allows users to understand the power of language.

Best Generative AI Applications

Generative AI is a powerful tool that helps streamline workflows for users from different industries. With the help of genetic AI models, one can take inputs like text, visual, audio, and code to generate new or modified solutions.

In conclusion, generative AI transcends the realm of mere artistic exploration, presenting itself as a powerful tool across various industries. Generative AI has not only emerged as a tool but as a collaborator for IT professionals, scientists, researchers, engineers, and many more to create ideas, solutions, and content of different forms through audio, visual, text, language, and coding; this will optimize workflow and spark a creative breakthrough. IT visionaries believe that generative AI offers a bridge between technical expertise and limitless possibilities.
To Know More, Read Full Article @ https://ai-techpark.com/generative-ai-applications-and-services/
Read Related Articles:
Things You Should Know About Quantum Computing
Trends in Big Data for 2023

The inherent inertia and inefficiency of regulators in responding to rapidly evolving sectors like AI can be attributed to several factors rooted in their nature, design, and skill sets. First, regulatory bodies are typically structured to be cautious and deliberative, prioritizing stability and risk aversion over rapid adaptation. This approach, while beneficial for maintaining systemic integrity in traditional markets, often results in a lag when faced with fast-paced technological innovations. Additionally, the design of these institutions, often bureaucratic and bound by complex legislative processes, hampers their ability to swiftly enact new policies or adapt existing ones to novel contexts. Lastly, there is often a skill and knowledge gap; regulators may lack the specialized expertise required to understand and effectively govern cutting-edge technologies, leading to a reliance on outdated frameworks or overly cautious approaches that fail to address the unique challenges and opportunities presented by sectors like cryptocurrency.

This pattern of slow and inadequate responses was most recently highlighted by the rise and fall of FTX, a major cryptocurrency exchange. In 2021, FTX quickly grew into one of the world’s largest cryptocurrency exchanges. In 2022 it collapsed in one of the most prolific financial fraud cases in US history. This failure served as a wake-up call. It demonstrated the risks inherent in the crypto market and the consequences of the US government’s slow response in establishing a comprehensive regulatory framework.

Consumers are getting screwed

All these regulations will create negative consequences for consumers if not carefully crafted or if they “inadvertently” favor large companies at the expense of smaller ones or innovation in general. Primarily, a reduction in innovation and diversity, slower access to advanced technologies, and decreased competition are a few of many concerns. The best example of this happening is in Canada. The telecom industry consists of only three players: Rogers Communications Inc., Telus Corporation, and Bell Canada. This became possible as they lobbied and bullied their way into the top to introduce regulations to stifle any competition in mobile phone and internet services.

As a result, Canadians have significantly worse coverage plans, both locally and globally, than Americans do. Mobile phone bills have skyrocketed to eye watering prices, and Canadians are often the last to get many interesting and innovative services. This extreme competition stifling has even resulted in fatal consequences. On July 8th, 2022, Rogers Communications experienced a service outage that knocked 25% of Canada offline. This resulted in many crucial services being knocked offline, including 911 services.

What do we do then?

AI must be decentralized. Period. Full stop. Allowing something as game changing and powerful to be centralized and to follow the bottom line of business corporations is akin to allowing the internet to be controlled by corporations. If this had happened, this would have resulted in a much less free and open internet than the one we have today. Consumers of the internet today have freedom of choice in where they shop from, how often they do it, and what they wish to pay, due to the many services allowed on the internet. If it had been regulated like Microsoft had attempted to do in 1995, it would be akin to shopping in a random strip mall in midwestern America.

To Know More, Read Full Article @ https://ai-techpark.com/rapid-advancement-of-ai/

Read Related Articles:

Trends in Big Data for 2023

Guide to Endpoint Security

In the ever-evolving landscape of technology, the rise and implementation of hybrid cloud computing solutions have become pivotal in reshaping the future of IT infrastructure. As large-scale businesses strive to increase efficiency, reduce latency, and enhance stability, IT professionals adopt this dynamic technology. Cloud technologists believe hybrid clouds may be better for operational efficiency, security, faster application development, improved business insights, and better resiliency.

Let’s take a closer look by understanding the hybrid cloud with a few examples, its key benefits, and its importance in implementing a hybrid cloud in businesses.

What are Hybrid Cloud?

A hybrid cloud is an amalgamation of different cloud computing environments, like public cloud and private cloud infrastructure, which helps organizations compute, network, and store resources in various cloud worlds according to their needs. IT professionals define hybrid cloud computing as flexible as it helps businesses have the autonomy to choose where the data can reside based on performance, compliance requirements, and security.

Let’s take a look at a few examples of where hybrid cloud computing can be implemented:

Several examples emphasize the versatility of implementing hybrid cloud computing in business. For example, a healthcare organization can securely store its patient records and other confidential reports on its private cloud while using the public cloud for hosting websites. Similar to e-commerce companies, utilize a hybrid cloud model to handle peak traffic during holiday sales without compromising customer data security.

Furthermore, the adoption of a hybrid cloud model fosters innovation, which empowers organizations by leveraging legacy systems and modern technologies. Here are some best practices that will help businesses adopt this cloud model:

Best Practices for Hybrid Cloud Adoption

Comprehensive Cloud Strategy

Businesses should develop a comprehensive hybrid cloud strategy that aligns with their business objectives which encompass workload assessment, cloud provider selection, compliance measures, data management, and security protocols.

Robust Governance and Monitoring

Implementing robust governance frameworks and a continuous monitoring process is crucial, which includes tracking resource usage, ensuring compliance, managing costs, and enforcing security policies across all cloud environments.

Employee Training and Skill Development

The successful adoption of the hybrid cloud model requires a skilled workforce qualified to manage complex cloud infrastructure. So organizations should invest in training employees and enroll them in skill development programs to equip them with the necessary expertise in the hybrid cloud model.

To Know More, Read Full Article @ https://ai-techpark.com/power-of-hybrid-cloud-computing/

Read Related Articles:

Information Security and the C-suiteAutomated Driving Technologies Work

AI and ML are changing the way we live and work. Many people think they’re reserved for tech giants, however. But increasingly we’re seeing SMEs harness the power of these tools. And the benefits are clear: artificial intelligence and machine learning can improve operations, boost customer satisfaction and help companies to outpace the competition – all of which are essential if you want your business to not only survive but thrive.

Interested in knowing more? Here we look at the benefits of AI and ML in the business world as well as the perceived challenges.

Customer service

We’ve probably all communicated with a chatbot online when searching our favourite store’s website. In fact, many might not even realise that when you use the chat box function, you’re not actually speaking to a human. This is one of the best examples of how technology can be used to help a business as it offers 24/7 customer support without breaks or vacations, and it’s likely to save money over time too. Even better, these chat boxes provide instant responses to customers, whatever time of the day, meaning customers are better served and we know that is crucial for customer retention and loyalty. That’s not to say there isn’t a place for human customer service agents, instead, your human team can be deployed to other areas of the business and can tackle more complex issues.

Administration

Data entry, accounts, general admin – these are all essential tasks for business owners to complete but it’s not always easy to find the time to dedicate to them. That’s where AI and ML come in. In fact, AI can automate data entry making it faster and error-free. It can even take care of administrative tasks, report generation, and appointment scheduling meaning you and your team can focus on business-critical tasks. With more time freed up, you’ll likely be able to respond quicker around the business and can put more time into your overall strategy.

Decision-making

Another benefit of AI is that it provides deeper insights and can analyse large amounts of data much quicker than a human could. This makes it even easier to predict market demand, understand specific customer preferences and optimise resource allocation.

The challenges in implementing AI

Despite the benefits of AI and ML, we can’t ignore the challenges surrounding it. This includes the difficulties in managing vast data storage, recruiting skilled AI professionals, and not to mention the rapid changes in the AI landscape. Indeed, implementing AI isn’t a one-stop approach. Instead, companies need to continuously innovate to ensure they can keep pace with competitors.

To Know More, Read Full Article @ https://ai-techpark.com/transforming-smes-for-success/

Read Related Articles:

Diversity and Inclusivity in AI

Things You Should Know About Quantum Computing
Maximize your growth potential with the seasoned experts at SalesmarkGlobal, shaping demand performance with strategic wisdom.

As the festive season approaches, customers desire to deck their offices and homes beyond traditional ornaments and twinkling lights, as people are becoming more tech-savvy and opening the doors to allure in the world of smart devices. While smart devices, like voice-activating speakers, smart thermostats, smartwatches, self-locking doors, and many more, promise to add more convenience and comfort, lurking within this interconnected ecosystem lies a potential vulnerability: security.  

In this article, we’ll go over the best IoT security research and procedures buyers should conduct before purchasing gadgets this holiday season.

Four Best IoT Security Research and Practices

An IoT attack surface, at its most basic, is the total number of entry points for unauthorized system access since it extends beyond entrance points and encompasses all potential security flaws for IoT devices, linked software, and network connections.

With an understanding of the landscape, here are the 7 best IoT security research and practices buyers must do before buying devices this holiday season:

Research Before Buying Smart Devices

You should not be attracted by shiny advertisements; rather, dedicate time to researching different brands, their security measures, and customer reviews. Look for devices that prioritize your needs and have standard security features like secure boot sequences, regular firmware updates, and data encryption. For instance, instead of opting for a flashy smartwatch, research brands known for their robust security measures like two factors—authentication and secure data storage practices—also look for security audits and certifications like common criteria or ISO certification for added assurance.

Strong Passwords, Stronger Foundations

Passwords are the first line of defense; thus, avoid pre-configured generic passwords and opt for complex, unique combinations for each smart device. Enabling two-factor authentication whenever applicable adds an extra layer of security; for example, for your smart lighting system, enabling two-factor authentication via phone is an add-on security to prevent other users from controlling your system remotely.

Update Firmware Regularly

Outdated firmware can be riddled with vulnerabilities; thus, you should make it a habit to regularly check for and apply available patch updates on all your IoT devices. You can also set up automatic updates for your smart TV to ensure it is also up and running with the latest firmware patch, which helps prevent vulnerabilities that could allow hackers to exploit your viewing habits. However, some devices offer automatic updates, which is a bonus for convenient security.

To Know More, Read Full Article @ https://ai-techpark.com/top-iot-device-security/

Read Related Articles:

Importance of AI Ethics

AI and RPA in Hyper-automation Maximize your growth potential with the seasoned experts at SalesmarkGlobal, shaping demand performance with strategic wisdom.

In the ever-evolving world of retail, the holiday season presents unique challenges and opportunities for retailers. As consumer exertion surges, retailers have to be interactive with their customers, both online and in-store. To meet such demands effectively, embracing interactive and unified technology solutions is a strategic imperative for retailers to meet customers’ expectations and generate more sales. This article delves into the crucial aspects of interactive and unified technology in holiday customer service for retailers.

Proactive Message

Proactive order updates, delivery notifications, and personalized recommendations can be sent to customers via SMS, online messaging apps, or push notifications to keep them in the loop. This proactive approach builds trust and reduces unnecessary interactions, freeing up human agents for more complex issues.

Connect the Dots for a Seamless Journey for Unified Technology

Implementing a unified solution in retail streamlines operations enhances the customer experience, and optimizes resource utilization effectively. This section will delve into the practical steps for seamlessly integrating unified technology this holiday season:

Omnichannel Integration

Embracing an omnichannel integration strategy ensures a consistent customer experience across mobile applications, websites, and physical stores. A unified interface allows customers to seamlessly transition between channels.

Feedback Mechanism

Establishing a feedback mechanism to gather insight from customers helps in observing and experimenting with a unified solution to further refine it. With an adaptive approach based on the real world, this feedback is important for continuous improvement.

After learning about the types of interactive and unified technology solutions retailers can implement in their businesses, let’s further dive into how these technologies will help retailers this holiday season.

As retailers gear up for the holiday rush, embracing interactive customer support platforms and unified data management can change the customer service landscape. Investing in these solutions will ease the holiday rush and build long-lasting customer loyalty. So, as the holiday season approaches, these potential technologies will make your customers happy and orchestrate better sales and higher revenue.

To Know More, Read Full Article @ https://ai-techpark.com/interactive-and-unified-in-technology/

Read Related Articles:

AI in Medical Imaging: Transforming Healthcare

AI and RPA in Hyper-automation Maximize your growth potential with the seasoned experts at SalesmarkGlobal, shaping demand performance with strategic wisdom.