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Generative AI technology like ChatGPT has brought the world one step closer to the futuristic society envisioned by forward-thinking science fiction writers. But will this future be a utopian or dystopian one? Time will tell. In the meantime, businesses must understand and leverage AI’s burgeoning influence over the zeitgeist to build favorable public sentiment about their brand’s reputation. It has become a make-it-or-break-it moment for corporations in the battle against the spread of AI-led misinformation.   AI Angst Opinions run hot, cold, and everywhere in between when it comes to AI’s possibilities and ramifications. A recent survey by the Pew Research Center found that 52% of Americans are expressing greater concern rather than excitement regarding the increasing dependence on AI. This sentiment has risen by 14% since 2022. The current era represents a Cognitive Industrial Revolution teeming with potential, including AI’s provocative ability to sway public opinion. Businesses and their communication teams must fortify their message with an if-you-can’t-beat-them, join-them approach, leveraging AI’s influence over public opinion and using that to their advantage. By being open and transparent, companies can direct the narrative and strengthen their brand’s image by becoming thought leaders in their industry—with more communication, not less. Succeeding in this evolving era of cognitive engagement requires focused attention on three crucial areas, each demanding commitment and education: Understanding Algorithms By comprehending the algorithms governing social media platforms, search engines, and the media, organizations can enhance their ability to forecast and manage the distribution and reception of their content among their desired audience. This guarantees that their brand message gains momentum and effectively connects with their customers. Developing Strong Strategic Communications Plans As mentioned above, businesses must cultivate persuasive communication strategies capable of quickly adjusting to the unpredictable nature of technology and public opinion. This involves promoting clarity in their brand messaging, maintaining consistency across different platforms through all channels of the PR>Marketing>Sales funnel, and promptly responding to audience feedback. A thoughtful communication strategy integrates crisis management protocols to address any threat to brand messaging proactively. It’s a Cognitive Revolution By putting these measures into action, businesses can use AI to their advantage and cultivate a positive public perception, guaranteeing their continued brand relevance that rises above all the digital noise. Understanding the dynamics of shaping public opinion enables businesses to craft their brand their way. AI is leading a Cognitive Revolution, democratizing technology, and empowering individuals to expand their creative potential. It can be leveraged to be a tool, not a replacement for brand communication. To Know More, Read Full Article @ https://ai-techpark.com/opportunities-in-the-cognitive-revolution/ ; Related Articles - CIOs to Enhance the Customer Experience Future of QA Engineering Trending Categories - Mobile Fitness/Health Apps/ Fitness wearables

As we have stepped into an era of rapid technological transformation and competition, the business environment needs to prioritize workers’ safety and well-being to safeguard their employees from workplace hazards. According to a recent statement by the International Labour Organization (ILO), it is reported that approximately 2.3 million individuals globally lose their lives to work-related incidents or illnesses annually, and here AI comes as a savior that enhances occupational safety and health (OHS) practices. The continuous advancement of technology unlocked a new channel of employee welfare, which paved the way for a future where employees feel protected and prosperous. AI ensures workforce measures, identifies potential hazards, and creates a more secure work environment for employees. Today’s exclusive AITech Park article will discuss the top six occupational safety and health software programs that will change workplace dynamics forever. Life Risk Assessment Software 1Life is a safety management system that offers a customized and focused approach to safety management to companies that want to implement OHS programs to meet their workplace safety needs and requirements. This software is specifically for small- to mid-sized businesses and has the capabilities to include web/mobile document, form, and scheduling management; learning management; online training courses and custom course builders; and subcontractor evaluation and management. Workhub Environmental Health and Safety Software Workhub is the most comprehensive and affordable safety and compliance solution on the market and has more than 25 customizable tools. The software can streamline workflow and ensure all the health and safety programs are effectively communicated and implemented with employees. It provides complete health and safety compliance software that allows easy management of training, procedures, policies, inspections, and more, all centralized in one easy-to-use hub. SALUS Software Solution SALUS is an industry-recognized, flexible, and easy-to-use software solution that offers rapid time-to-value and provides a comprehensive integrated approach to governance, risk, and compliance. With this software, OHS practitioners can centralize the implementation of OHS practices in the workplace. SALUS is also known for being user-friendly, as it allows users to sign and submit documents, track certificates, and manage subcontractors, worksites, and assets, all from a centralized dashboard. Final Thoughts Implementing and managing health and safety programs in the organization does not need to be intricate, expensive, and time-consuming; rather, employers can take help from AI and data professionals to choose the right software and understand the necessary evaluation and customized safety compliance from occupational healthcare practitioners. With this mindset, companies can easily take control and preventive measures for employees to improve their work-life balance and create a supportive and nurturing environment. To Know More, Read Full Article @ https://ai-techpark.com/occupational-safety-and-health-software-programs/ ; Related Articles - Intersection of AI And IoT Transforming Business Intelligence Through AI Trending Categories - Threat Intelligence & Incident Response

In an era where digital security is paramount, the persistent reliance on passwords remains a significant vulnerability for enterprises globally. FIDO 2.0 emerges as a timely solution, reimagining credential authorization using available technologies. Legacy credential systems, rooted in the Internet 1.0 era, increasingly expose organisations to sophisticated AI-backed cyber threats. The 15% increase in attacks against Indian organisations, now averaging 2,138 attempts per week, can largely be attributed to these poorly secured credentials. As companies and industries continue to thrive throughout India and the region, security teams benefit from implementing new credential approaches, such as FIDO 2.0 stands from the very implementation of their networks. Despite CISOs and cybersecurity practitioners’ efforts in network security, advanced authentication implementation, and staff training on cyber hygiene, it still only takes a single breach to bring operations to a halt. Changing the credentials status quo Despite diverse authentication methods, the prevalent use of alphanumeric codes for logins continues to compromise organisational security. Recent years have particularly highlighted these faults in the Asia Pacific region. This has resulted in:   31% of global attacks as its digital transformation continues at a rapid clip across sectors. The most hit sectors were governments, absorbing the brunt of 22% of the attacks 49% of all attacks led to the compromise of sensitive information, with 27% of successful attacks disrupting core organisation operations. This goes beyond the financial and personal burden put on people as they try to understand if their information is compromised. In the past, these attacks were successfully conducted by identifying a vulnerability within a system and exploiting it using relevant tactics. However, today companies face two main threats, phishing attacks and device compromise. Device compromise Organisations permitting remote work or personal device use face an additional security layer– unfamiliar devices. IT operators have always struggled to identify and approve all devices on a network– again relying on usernames, passwords, and perhaps some other alphanumeric authentication technique. The danger lies in the possibility that these two-factor authentication methods may also be compromised alongside user credentials. Adding to the compilation, single sign-on has grown in popularity, but if a user is compromised, so too are their profiles created across all the tools that they have given access to the single point. Even with examples of organisational approved SSO with a secure environment, no matter how secure those APIs and authentications are, if the front door is still secured with a username, password, and alphanumeric authentication then the risk is still ever-present To Know More, Read Full Article @ https://ai-techpark.com/revolutionizing-security-fido-2-0/ ; Related Articles - Spatial Computing Future of Tech collaborative robots in healthcare Trending Categories - IOT Wearables & Devices  

Today, in the field of technology, product management is rapidly changing because of artificial intelligence (AI) and machine learning (ML). With these quick advancements in technology and the ever-growing reliance on data-driven decision-making, product managers find themselves at odds; they must forget old ways to learn new ones that fit into this digital age. Rather than simply managing cutting-edge products or services developed by others, a product manager in today’s IT organization should be viewed as someone who can transform everything about them using any new technique or technology available while also engaging stakeholders like never before. This article gives an overview of what the digital world means for you as a product manager and some popular certifications in this area. Four Product Management Certifications A product management certification is a great way for a product manager to refine their knowledge and gain insight into current AI and data-based product development ideas and product management strategies. Product Management Program by CareerFoundry The Product School offers three product management certificates exclusively designed for different levels. The beginner level is for students who have yet to gain prior experience, as it covers basics such as assessing target opportunities, building software products, and how to launch a great product. The second level is exclusively for the Product Leader Certificate, which requires 2-4 years of knowledge as a PM and demands competence with DevOps, data analytics, AI, and ML technical skills. Post-certification, the product leader will learn about product strategy, user research, and the UX/UI design process. The final program is a product executive certificate that is customized for senior-level professionals with experience in a product leadership role to explore the demand for product leadership fundamentals and manage the growth of new technological products. New Product Development Professional (NPDP) Certification by the PDMA The Product Development and Management Association’s (PDMA) New Product Development Professional (NPDP) Certification is recognized as one of the best product management courses. It is designed for PM professionals with at least two years of experience in product development or innovation and seeks to cover key areas of product strategy portfolio management, new product processes, tools, and metrics, market research, and lifecycle management. By earning this certification, you will understand the best industrial practices and improve in the field of product development. Certified Product Marketing Manager by the AIPMM The Certified Product Marketing Manager (CPMM) course offered by the Association of International Product Marketing and Management (AIPMM) is quite famous among product marketing professionals. The core program focuses on strategic marketing, product lifecycle management, and go-to-market strategies. The certification process requires professional skills to manage and market products, followed by rigorous coursework and examinations.   To Know More, Read Full Article @ https://ai-techpark.com/the-power-of-ai-with-product-management-certifications/ ; Related Articles - Democratized Generative AI Top 5 Data Science Certifications Trending Categories - AI Identity and access management

In the 21st century, people are searching for an abode that will provide better public infrastructure and easily accessible resources that will make their lives easier. Traditional cities often grapple with major issues of inadequate infrastructure, huge population growth, inefficient resource and waste management, and traffic congestion, aiming at a lack of urban development. However, the introduction of smart cities represents a pivotal shift towards embracing new-age technologies to solve some of the most pressing challenges of urban living and make cities have better infrastructure, public services, and sustainable growth. The concept of smart cities emerged as a transformative trend in the fields of technology and architecture that will reshape the urban landscape and revolutionize the way people interact with our environment. By integrating technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and big data analytics, architects and IT professionals can set new standards for service delivery, sustainability, and livability. In 2024, IT professionals and architects will be at the forefront of this environmental sustainability movement, leveraging technology and innovative design principles to develop cities that are technologically advanced, sustainable, and efficient to cater to the different needs of each resident. In today’s exclusive AITech Park article, we will explore the emerging trend of smart cities and how IT professionals and architects can play a pivotal role in the development of these cities. Powering the City with Renewables The transition to renewable energy sources is an important aspect of smart city development, with IT professionals and architects leading the charge toward implementing sustainable energy solutions. For instance, the integration of solar panels on rooftops and farms to harness the sun’s energy to power homes, businesses, and public facilities. In many American cities, the strategic use of wind turbines capitalizes on renewable wind energy resources, supplementing the city’s power grid. Redefining Urban Transport The traditional model of urban transportation has undergone a shift that is purely based on AI algorithms for making smart cities efficient and sustainable. With the help of IT professionals, architects can take the initiative to transform urban mobility. The first initiative is to prioritize public transportation systems that are well aligned with big data analysis and ML technologies to enhance accessibility and reliability. Urban planners should adopt different electric vehicles and embrace clean energy solutions to reduce emissions and combat air pollution. As the world’s population continues to grow at an unprecedented rate, the essentiality of smart cities becomes more pronounced, as they provide a blueprint to address the challenges of urbanization and strive to reach the different goals related to improving urban lifestyle, achieving economic growth, and environmental sustainability. To Know More, Read Full Article @ https://ai-techpark.com/the-emergence-of-smart-cities-in-2024/ ; Related Articles - celebrating women's contribution to the IT industry Transforming Business Intelligence Through AI Trending Categories - Patient Engagement/Monitoring  

We are well aware that in recent times, climate change has impacted the economic, social, and environmental systems across the planet, and unfortunately, its consequences are expected to continue in the future. It has been witnessed that cities in the United States, Philippines, China, and Madagascar are facing warmer, drier, and wetter climates, resulting in natural hazards; these extreme weather events have affected 145,000 human fatalities across cities, as they invite seasonal diseases, drought, famine, and even death. Therefore, with these adversities in mind, meteorological departments and governments across the country have started taking advantage of technologies such as artificial intelligence (AI) and machine learning (ML) that have the potential to protect the environment. In today’s special edition at AI Tech Park, we will discuss the use of artificial intelligence in monitoring environmental conditions and its potential to save the planet. AI Applications for Addressing Environmental Issues AI has always been the best possible solution, as it can perform any task that requires human intelligence. These machines are dependent on large amounts of data that can be easily analyzed, create patterns, and make appropriate decisions based on that data. Therefore, when AI and environmental sustainability are combined, it can deal with any environmental issues, such as cutting down forests, water crises, and climate change, as AI can accurately make data-driven decisions, letting us watch over the change in ecosystems and focus on planning and protecting nature. Let’s look at the AI application in environmental solutions: Predicting Climate Patterns AI can analyze historical and real-time data that empowers predictive modeling for each day’s climate patterns and any natural disaster. The advanced algorithm can forecast weather events, track slight to massive changes in climate conditions, and anticipate the intensity of natural disasters. The AI-driven predictive capabilities allow meteorologists to prepare people for disasters and develop evacuation plans and resource allocation. Energy Consumption Optimization AI-driven technologies help energy engineers and scientists streamline energy consumption by analyzing patterns and demand fluctuations. For instance, smart grids are driven by intelligent algorithms that align with energy supply and demand. These systems are extremely useful as they efficiently integrate renewable energy sources, and their implementation will continue to increase in the long run. To Know More, Read Full Article @ https://ai-techpark.com/digital-leadership-for-eco-sustainability/ ; Related Articles - Spatial Computing Future of Tech collaborative robots in healthcare Trending Categories - Mobile Fitness/Health Apps/ Fitness wearables

In a business world that’s increasingly leaning on hybrid and multi-cloud environments for agility and competitiveness, DH2i’s recent launch of DxOperator couldn’t be more timely. For those managing SQL Server within Kubernetes — especially when dealing with the intricacies of operating across various cloud platforms — it is a true game changer. DxOperator is the result of a close relationship with the Microsoft SQL Server team, which led to the creation of a tool that is ideally suited to automate SQL Server container deployment in Kubernetes. What makes it truly unique and a stand-out in this space is DxOperator’s ability to take complex setups and make them simple — which ensures that HA and operational efficiency are easily achievable, even across multi-cloud environments. Of course, another reason that DxOperator is in a league of its own is how it turns your specific requirements into optimized actions. DxOperator handles everything from custom pod naming to node selection with such finesse that managing SQL Server containers becomes a breeze. It’s all about making sure that your deployments are not just efficient but also best practice compliant. Microsoft’s Rob Horrocks praised DxOperator (see announcement) for its ease-of-use and effectiveness, noting its potential to simplify complex deployments for those who might not be Kubernetes experts. DxOperator’s user-friendly nature, together with its robustness is reshaping how businesses approach database management. Key Advantages: Effortless Automation: DxOperator automates complex tasks like custom pod naming and node selection, making SQL Server container management a breeze. DxOperator ensures deployments adhere to best practices, optimizing performance and security. Unprecedented Efficiency: Previously requiring 30 minutes and vast amounts of code, DxOperator reduces deployment time to 3-5 minutes with minimal coding. This simplifies the transition to Kubernetes for SQL Server experts. Focus on Availability Groups: Designed by DH2i's CTO, OJ Ngo, DxOperator excels at automating and managing SQL Server availability groups, a critical aspect for high availability. The rise of hybrid and multi-cloud environments demands agility and cost-efficiency. In this landscape, DH2i's DxOperator emerges as a game-changer for managing SQL Server within Kubernetes. Developed in collaboration with Microsoft, DxOperator automates SQL Server container deployment in Kubernetes, simplifying even the most intricate setups. To Know More, Read Full Article @ https://ai-techpark.com/sql-server-for-hybrid-multi-cloud/ ; Related Articles - collaborative robots in healthcare Democratized Generative AI News - Marvell launches products, technology and partnerships at OFC 2024

In the digital era, spatial computing (SC) is a rapidly evolving field as we have started to interact with humans and machines in three-dimensional spaces. Technologies under this umbrella, including augmented reality (AR) and virtual reality (VR), can redefine the enterprise’s interaction with these gadgets and unlock a new realm of possibilities and opportunities. Today, spatial computing is no longer a vision but a reality for finding the correct applications in numerous fields, especially in the business world. In this AI Tech Park article, we will take a closer look at how spatial computing is the new solution for IT professionals who are looking to improve their data analysis and process optimization. The Technology Behind Spatial Computing Spatial computing has emerged as an interactive technology that can merge the digital and physical worlds, allowing users to interact with computers in an immersive and seamless manner. With the help of a wide range of technologies, such as artificial intelligence (AI), camera sensors, computer vision, the Internet of Things (IoT), AR, VR, and mixed reality (MR), IT professionals can develop new technologies, a seamless business process, and better data analysis to optimize the process. This technology employs numerous devices and hardware components to provide an interactive customer experience. A few well-known devices in the business world are smart glasses such as Apple Vision Pro and Meta Quest 3, which interface virtual objects with the real world. Another interactive spatial computing technology is the depth camera by Microsoft Azure Kinect and the Intel RealSense D400 series, which captures the depth of the physical world and creates virtual objects that will fit into the real world. Spatial computing leverages numerous technologies, such as machine learning (ML), advanced sensors, and computer vision, to understand and interact with the physical world. Computer vision, also a subset of AI, enables computers to process and understand visual information by tracking users’ movements and understanding the environment. This allows IT professionals to create a digital representation of the physical world, which can be further used to overlay digital content onto the real world. ML is another key technology in spatial computing that IT professionals use to train computers to understand and predict user behavior. For instance, if the user reaches to touch a digital object, the computer needs to understand this information and take action to respond accordingly and further predict the user’s future actions. Sensors are also an essential component of spatial technology as they provide the data that the computer needs in the physical world, which includes the user’s behavior, environment, and interaction with digital content. Spatial computing is indeed considered the future of technology, as it has the potential to revolutionize any industry by enabling human interaction with machines and the environment. This innovative blend of the virtual and physical worlds provides immersive experiences and boosts productivity. At its core, spatial computing integrates MR, VR, and AR to bridge the gap between the real world and the digital realm, which helps shape the future of technology. To Know More, Read Full Article @ https://ai-techpark.com/spatial-computing-in-business/ ; Related Categories - CIOs to Enhance the Customer Experience Transforming Business Intelligence Through AI News - Storj announced accelerated growth of cloud object storage solution

What challenges have you faced in implementing AI at Zendesk and how have you overcome them? I believe that across the industry, businesses have made AI hard to make, understand and use. Up until OpenAI released ChatGPT it was accepted that AI was a highly technical field that required long implementation processes and specialised skills to maintain. But AI should be easy to understand, train and use – that’s something we’re very passionate about at Zendesk, and we absolutely need to have that into account when we develop new features. AI is a shiny, new tool but those looking to implement it must remember that it should be used to solve real problems for customers, especially now with the advent of generative AI. We also need to remind ourselves that the problems we are solving today have not changed drastically in the last few years. As AI becomes a foundational tool in building the future of software, companies will have to develop the AI/ML muscle and enable everyone to build ML-powered features which requires a lot of collaboration and tools. An AI strategy built upon a Large Language Model (LLM) is not a strategy. LLMs are very powerful tools, but not always the right one to use for every single use case. That’s why we need to assess that carefully as we build and launch ML-powered features. How do you ensure that the use of AI is ethical and aligned with customer needs and expectations? As beneficial as AI is, there are some valid concerns. At Zendesk, we’re committed to providing businesses with the most secure, trusted products and solutions possible. We have outlined a set of design principles that sets a clear foundation for our use of generative AI for CX across all components, from design to deployment. Some examples of how we do this include ensuring that training data is anonymised, restricting the use of live chat data, respecting data locality, providing opt-outs for customers, and reducing the risk of bias by having a diverse set of developers working on projects. What advice do you have for companies looking to incorporate AI into their customer experience strategy? At Zendesk, we believe that AI will drive each and every customer touchpoint in the next five years. Even with the significant progress ChatGPT has made in making AI accessible, we are still in the early stages and must remain grounded in the fact that LLMs today still have some limitations that may actually detract from the customer experience. When companies use AI strategically to improve CX, it can be a powerful tool for managing costs as well as maintaining a customer connection. Having said that, there is no replacement for human touch. AI’s core function is to better support teams by managing simpler tasks, allowing humans to take on more complex tasks. While it’s important to move with speed, companies seeking to deploy AI as part of their CX strategy should be thoughtful in the way it’s implemented. To Know More, Read Full Interview @ https://ai-techpark.com/implementing-ai-in-business/ ; Related Articles - CIOs to Enhance the Customer Experience Transforming Business Intelligence Through AI Other Interview - AITech Interview with Neda Nia, Chief Product Officer at Stibo Systems

Knowledge graphs (KGs) are digital maps that capture the relationships between entities in the real world. This structured data provides a foundation for LLMs, powerful AI systems that can process and understand human language. In 2024, the marriage of these technologies is leading to a new generation of AI. By combining the context-awareness of LLMs with the structured knowledge of KGs, AI systems are becoming more adept at tasks like information retrieval, question answering, and even generating creative text formats. This is fundamentally changing how we interact with computers, allowing for more natural and intuitive communication. As we have stepped into the realm of 2024, the artificial intelligence and data landscape is growing up for further transformation, which will drive technological advancements and marketing trends and understand enterprises’ needs. The introduction of ChatGPT in 2022 has produced different types of primary and secondary effects on semantic technology, which is helping IT organizations understand the language and its underlying structure. For instance, the semantic web and natural language processing (NLP) are both forms of semantic technology, as each has different supportive rules in the data management process. In this article, we will focus on the top four trends of 2024 that will change the IT landscape in the coming years. Embrace Web 3.0 For a Decentralized Future The core of Web 3.0 (Web3) lies in three fundamentals: smart contracts, blockchain, and digital assets, which allow platform users to manage their authority and enable them to participate in the growth of the technological ecosystem. Web3 allows IT professionals to create, own, and manage their content and enjoy authority over their assets and data to safeguard them, as this technology eliminates third-party control and enhances the user’s experience by focusing on privacy, transparency, and security. Revolutionizing Business Operations With Virtual Assistants The concept of virtual assistance (VA) has transformed the way we work, interact, and communicate with technology, as it offers a myriad of benefits such as maximizing productivity, streamlining daily operations, and offering personalized customer experiences. The introduction of technological advancements such as AI, NLP, and DL has improved the VA’s intelligence and capabilities, allowing the VA application to address specific news and solve real-world issues. Large language models (LLMs) and semantic technologies are turbocharging the world of AI. Take ChatGPT for example, it's revolutionized communication and made significant strides in language translation. But this is just the beginning. As AI advances, LLMs will become even more powerful, and knowledge graphs will emerge as the go-to platform for data experts. Imagine search engines and research fueled by these innovations, all while Web3 ushers in a new era for the internet. To Know More, Read Full Article @ https://ai-techpark.com/top-four-semantic-technology-trends-of-2024/ ; Related Articles - Explainable AI Is Important for IT Chief Data Officer in the Data Governance For Latest Industry Updates Subscribe to Our YouTube Channel