Tag: Generative Ai

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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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/

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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/
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The holiday season is approaching, and companies are eager to organize events for employees that provide opportunities to celebrate their achievements and foster a sense of friendship. However, with the help of generative AI, event planning companies can easily arrange next-level holiday parties that will create an unforgettable employee experience for their clients in years to come.

Before we dive into how generative AI has the potential to revolutionize company holiday parties, let’s get a brief understanding of this cutting-edge technology. Generative AI uses machine learning (ML) algorithms to generate creative and new content like art, text, or music, which enables the event planner’s computer to automatically produce content based on existing patterns and make perfect tools to enhance party planning and experiences.

In this article, we will explore the role of generative AI in event planning and how you can implement it properly this virtual holiday season.

Implementing Generative AI in Party Planning

Hosting a holiday party can have a significant impact on your client’s satisfaction and their company culture. For companies hosting parties, this is an ideal opportunity for employee engagement, boosting their morale, and celebrating functions like Christmas and the New Year together in a stress-free environment.

So, with the help of generative AI, event planners can plan and set the right tone for the party. Here are a few key aspects to look for when implementing generative AI in party planning:

Identifying Party Goals

To boost the morale of employees and strengthen team unity, event planners must identify party goals to make important decisions; for this, you can depend on generative AI to meet these objectives.

Generative AI can create a positive and joyful atmosphere where clients can relax and have fun. To strengthen team unity, generative AI suggests team-building activities and interactive games during these holiday parties. By using generative AI, you can leverage technology to enhance the overall Christmas theme party experience.

Gathering Essential Party Details

While generative AI can assist with many aspects of party planning, it is essential to have a solid foundation before diving into artificial intelligence (AI)-powered event management tools and applications.

Once the goal of the party is established, event planners can move ahead in gathering essential party details, which include party date, budget, venues, and the use of fun technologies like AI chatbots for interactive conversations or VR and AR technologies for virtual tours of the party or gaming sessions.

These objectives can be accomplished effortlessly with the help of generative AI, which not only assists in finding venues according to your criteria but also helps in making the whole process efficient and streamlined.

To Know More, Read Full Article @ https://ai-techpark.com/generative-ai-holiday-party/

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As the number of generative AI tools continues to proliferate, companies must determine the risks and rewards of using the technology as well as design a framework for implementation

When it comes to generative artificial intelligence (GAI), there is no going back. The genie is out of the bottle and companies must now grapple with a number of big questions. For example, what guardrails should be put in place for employees looking to take advantage of AI’s tremendous potential? Do the risks associated with the emerging technology outweigh the benefits? Is there a way for humans and machines to co-exist in a mutually beneficial relationship?

GAI is different from what many people think of when it comes to AI. Instead of the human-like robots that are often portrayed in movies and the media, generative AI is a form of machine learning that can produce content – including audio, code, images, text, simulations, and videos – more quickly than humans can on their own. Which makes their use enticing.

Guidance principles for corporate use of AI

Implementing appropriate guidelines allows companies to use the power of generative AI while reducing the risk of being affected by its negative aspects. While no set standard will work for all companies, guidelines should adhere to three principles.

Principle 1: Be AI-safe and secure

When you submit a question to tools like ChatGPT, Google Bard, and Claude AI, that information is stored and used to train it further. Once businesses send information to these tools, they effectively hand over that data to an external entity and lose control over its use. And that has consequences.

“If you’re in healthcare, finance, or any other regulated environment, there are severe implications for misuse of the information you’re in charge of,” says Post. “Those types of organizations should not jump in until they have been properly trained and have guardrails put in place.”

LLMs can also open the door to intellectual property theft because people unwittingly give them proprietary information such as trade secrets, company financial data, personally identifiable information from clients, and customers, and much more.

Safety, security, and privacy comprise the first guiding principle and ensure employees do not input anything into a generative AI tool that they should not share.

A collaboration between bytes and brain

The guidance principles are meant to raise awareness about the current state of AI tools. Humans will need to learn to work with AI, not rebel against it.

“It’s a bytes and brains collaboration,” says Dr. Norrie. “We must figure out the machine instead of letting the machine figure us out. It is best to establish your AI guidelines while you’re developing your own knowledge and understanding of how you plan to govern and regulate its use.”

To Know More, Read Full Article @ https://ai-techpark.com/navigating-the-future-of-generative-ai/ 

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For shoppers, this is the perfect time to celebrate the holiday season, and for the e-commerce sector, it is an ideal time to get many reviews. However, during this time of the year, E-commerce stores face problems with understaffed teams, supply chain woes, and changing customer behaviors, which, when combined, create the storm of the century.

As consumer behavior and preferences change every season, e-commerce merchants continuously seek innovative strategies to engage and satisfy their customers. With the help of artificial intelligence (AI), with its automation capabilities and data-driven insights, it can upscale this landscape and generate a higher conversion rate.

In this article, we will find out more about how e-commerce merchants can use AI to benefit themselves during this festive season.

Benefits of AI in E-commerce  

The benefits of artificial intelligence are immense, as it helps e-commerce companies provide personalized experiences to their target audience and enhance day-to-day operations effectively. Let’s explore each advantage carefully:

Personalized Shopping Experiences

AI can analyze your user’s behavior to provide more personalized recommendations to help customers discover products that align with their festive needs and preferences. It can also optimize target advertising campaigns, enabling retailers to customize their marketing efforts, resulting in a seamless and individual shopping experience for customers.

Reduced Operational Costs

Implementing AI in e-commerce allows your business to reduce costs through automation of tasks, which diminishes the need for manual labor. AI enables you to manage your inventory and automate customer interaction, leading to savings in operational costs, empowering businesses, and getting a clear picture of the marketing challenges.

Increased Sales Opportunities

AI in e-commerce aids in forecasting emerging market demand during the festive season, enabling online retailers to strategically introduce and position their products and estimate opportunities for cross-selling and upselling. This means your business can unlock new sales channels for efficient sales processes and broaden its market presence.

The Black Friday and Cyber Monday retail scene is a huge change, as online retailers have to make sure to adjust their operations as consumer behaviors and expectations evolve rapidly. So, to stay in the game of profitable e-commerce shops, they have to rely on artificial intelligence (AI) to improve efficiency, cut extra costs, and balance operations through automation and less human interaction.

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What role does AI technology play in Pipefy’s products or services? How do you leverage AI to enhance your offerings?

AI is the new frontier for digital transformation in general, and no-code in particular.  It holds enormous potential for both process automation and operational efficiency. Where these two intersect, that’s where Pipefy really shines.

Pipefy AI enhances our existing platform by helping teams solve some of their most complex and time-consuming challenges, such as pulling critical insights from their data, or building more efficient processes. By simply telling Pipefy AI what is needed, users can access complex data analysis and create the best version of their process in mere seconds.

We also partner with technologies that are using AI in other ways. For example, our partner ABBYY uses AI to enhance their document processing capabilities. Partnerships like these allow our customers to get even more benefits from AI to drive efficiency and deliver optimization to an extent only dreamed of just a few years or even months ago.

What motivated you to start Pipefy, and what is the mission and vision behind the company?

Our vision has always been to help people build better processes, because we know business success depends not just on what gets done, but how it gets done. Good processes deliver good results and create great user experiences.

Prior to developing Pipefy, I worked in companies where problems with processes and standards of execution were major liabilities, impeding growth and preventing teams from achieving their goals. For example, processes that are bogged down by manual work, or which rely too much on spreadsheets and email threads.

In these scenarios, the work takes too much time and effort to complete. Managers don’t have visibility or control over their processes. Data is fragmented and fragile, so that information remains decentralized and stuck in silos.

A lot of businesses I knew were grappling with the problem of operational efficiency, which inhibited their ability to stay competitive and meet their goals. Some companies were aware that there was a goldmine of efficiency gains hiding in their workflows and processes, but the software tools available to them were too rigid to deliver efficiency across the organization, or they were cost prohibitive due to the endless customizations and add-ons needed to keep them relevant.

With Pipefy, I wanted to create a tool that offered all of the features and capabilities needed to achieve operational efficiency, and also flexible enough to accommodate any type of process or workflow, without burning through the company’s IT resources. The Pipefy solution meets both of these requirements because it gives business teams an adaptable no-code tool they can use to solve many inefficiencies themselves, no matter the department or process.

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In the realm of technology, few terms evoke as much excitement and apprehension as Artificial Intelligence (AI). As the CEO of Neurons, a company at the forefront of predicting consumer behavior using neuroscience and AI, I’ve witnessed this dichotomy firsthand.

A meeting with a leader of a large social media channel, a traditionalist in the world of research and insights. The skepticism in the room was palpable as we introduced our AI-driven solutions. The journey from apprehension to understanding to acceptance was not a sprint, but a marathon. But as they say, the longest journey begins with a single step.

Enhancing Efficiency

In this blog, we'll explore the compelling reasons why taking that leap is not only worth it but also essential for personal growth, business success, and societal advancement.

AI can significantly enhance efficiency across various sectors. Whether it's automating routine tasks, optimizing supply chains, or streamlining customer service, AI systems can handle mundane workloads with unparalleled accuracy and speed. By offloading repetitive tasks to machines, individuals and organizations can focus their time and resources on more meaningful and strategic endeavors.

Enabling Innovation

One of AI's most remarkable attributes is its ability to foster innovation. With machine learning algorithms, AI can identify patterns, analyze data, and generate insights that humans might overlook. This can lead to groundbreaking discoveries in fields like medicine, where AI is aiding in drug discovery and disease diagnosis, and in science, where AI is accelerating research across various disciplines.

Personalization and Customer Experience

AI is at the forefront of delivering personalized experiences. Businesses are using AI to tailor products and services to individual preferences, providing customers with exactly what they need. From personalized product recommendations in e-commerce to personalized content on streaming platforms, AI is making the customer experience more engaging and satisfying.

Data-Driven Decision Making

AI's data analytics capabilities empower organizations to make data-driven decisions. With access to vast datasets and advanced analytics tools, decision-makers can obtain valuable insights that inform strategy, planning, and problem-solving. This, in turn, can lead to more successful outcomes and a competitive edge in today's fast-paced world.

Embracing AI is a leap of faith worth taking. The potential benefits span across personal, business, and societal dimensions. It has the power to enhance efficiency, foster innovation, personalize experiences, enable data-driven decision making, and address complex global challenges. AI can augment the workforce and improve job satisfaction. However, it's essential to approach AI with ethical considerations in mind. By embracing AI today, we prepare ourselves for a future where AI will play an even more central role in our lives.

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In AI-Tech Park’s commitment to uncovering the path toward realizing enterprise AI, we recently sat down with Chris Lynch, an esteemed figure in the industry and accomplished Executive Chairman and CEO of AtScale. With a remarkable track record of raising over $150 million in capital and delivering more than $7 billion in returns to investors, Chris possesses invaluable knowledge about what it takes to achieve remarkable results in the fields of AI, data, and cybersecurity.

Please give us a brief overview of AtScale and its origin story. What makes AtScale stand apart from its competitors?

AtScale was founded in 2013 as a highly scalable alternative to traditional OLAP analytics technologies like Microsoft SSAS, Business Objects, Microstrategy, or SAP BW.  However, our true breakthrough came with the enterprise’s shifting data infrastructure to modern cloud data platforms.  AtScale uniquely lets analytics teams deliver “speed of thought” access to key business metrics while fully leveraging the power of modern, elastic cloud data platforms.  Further, what sets AtScale apart is its highly flexible semantic layer.  This layer serves as a centralized hub for governance and management, empowering organizations to maintain control while avoiding overly constraining decentralized analytics work groups.

How do AtScale’s progressive products and solutions further the growth of its clients?

AtScale offers the industry’s only universal semantic layer, allowing our clients to effectively manage all the data that is important and relevant for making critical business decisions within the enterprise. This is so they can drive mission-critical processes off of what matters the most – the data!

To achieve this, AtScale provides a suite of products that enable our end clients to harness the power of their enterprise data to fuel both business intelligence (BI) and artificial intelligence (AI) workloads. We simplify the process of building a logical view of the most significant data by seamlessly connecting to commonly used consumption tools like PowerBI, Tableau, and Excel and cloud data warehouses like Google BigQuery, Databricks, and Snowflake.  

What potential do you think AI and ML hold to transform SMEs and large enterprises? How can companies leverage these modern technologies and streamline their processes?

AI and ML are going to have a profound impact on how we live, conduct our day-to-day business, and shape the global economy. It is imperative for every organization to leverage AI to streamline their operations and processes, improve their costs, and more importantly build and sustain competitive differentiation in the market. But without proper data, AI becomes inefficient and uneventful. The power of those AI models and their predictions rests in the organizational data and needs a universal semantic layer to create AI-ready data.

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Can you tell us about your background and how it led you to found Cyral?

Cyral is the intersection of my passions and proficiencies. I have been on a long entrepreneurial journey. I started out as an early hire at Aster Data, which was one of the first companies to talk about Big Data, where I ran most of the engineering team. Then I founded Instart, which was in the CDN space where we focused on managing infrastructure at cloud scale. Cyral presented itself as the intersection of these two experiences — managing data at cloud scale. When I saw that companies were moving their sensitive data off-premises to the cloud, I realized they need a different way to manage the security and governance of data, and the answer is Cyral.  

Can you explain the importance of data security governance and its impact on organizations?

The number one thing most security leaders are worried about is a data breach. Companies increasingly gather sensitive information about their customers that they are tasked with keeping out of the hands of hackers. When everything began migrating to the cloud, breaches became much more common since there are so many ways for a hacker to access a database. Data is everywhere, and there isn’t a structured enough system to protect it.

Data security governance is its own category like IT security or application security, and more organizations are finding a need to address it with a specialty team or service dedicated to protecting sensitive information.

How does Cyral’s solution differ from traditional security tools, and how does it address the challenges of securing modern cloud-based environments?

Modern technology solutions are an adaptation of the past. They either take the way a company functioned in a data center and move it to the cloud, commoditize technology from big, enterprise solutions for others, or have developers recreate the work that once belonged to an IT team. Cyral does something new.

Other security tools are not database aware and have no way of knowing what’s in a company’s database or whether a user should be allowed to access a specific field or record—it’s often all-or-nothing access. Cyral addresses this issue with its complete suite of discovery, authentication, authorization, and auditing controls. Several people within the same organization can input a query into their Cyral-protected database, and depending on their role or other defined factors, each would see a different result. In fact, Cyral is the first security solution to provide all the features of database activity monitoring (DAM), privileged access management (PAM), data loss prevention (DLP), and data security posture management (DSPM) for a company’s sensitive datasets from a single platform.

Can you discuss the role of generative AI in data security and the potential risks it poses to organizations?

Generative AI is a reality for technology, so I see it working in data security in two ways. As it stands, security products make a lot of noise. They send alerts and false positives often, driving security leaders to spend time across multiple dashboards and data streams just to understand what’s happening. I anticipate that generative AI will begin to be incorporated into security products to help reduce the noise and make security analysts more productive. It will more accurately pinpoint a threat and where it is then send security teams to the right place to investigate.

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

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