Top-Emerging-Technology-Trends-to-Watch-in-2024.pptx

Hey, have you heard about the latest tech trends to keep an eye on in 2024? From artificial intelligence to blockchain, there's a lot of exciting stuff happening in the world of technology. If you want to stay ahead of the curve, it's worth checking out some of the emerging trends that are set to shape the future. Get ready for a wild ride!

1. Top Emerging Technology Trends to Watch in 2024 In a world where technologies are gaining the most traction, this document identifies the most important emerging technology trends that firms and leaders must embrace to continue digital acceleration and gain a competitive advantage. The technologies discussed range from Generative AI and Intelligent Applications to Quantum Computing and Sustainable Tech, all of which are poised to revolutionize industries and society in the coming years.

2. Dominance of Generative AI Generative AI has proven to be a defining trend in 2024, driving innovation with its capabilities in content generation and text-to-image conversion. According to Forrester, 90% of organizations are expected to overhaul their systems to fully benefit from GenAI, ensuring seamless integration and advanced performance. In 2024, Adaptive AI will also change technology, as these intelligent systems can easily tackle even the most complex tasks. Chatbots powered by Adaptive AI are already revolutionizing customer experiences across various industries, playing a vital role in improving overall business performance. 1 ChatGPT AI technologies like ChatGPT are used in various applications and industries, including customer service, virtual assistants, content generation, language translation, and more. These AI systems have the potential to automate tasks, streamline processes, and provide personalized experiences in a wide range of domains.

3. Intelligent Applications Intelligent applications use machine learning algorithms to learn from data, user interactions, and patterns to adapt their functions and improve their performance without explicit programming for each scenario. With historical data analysis, intelligent apps can predict future outcomes, help in the decision-making process, forecast trends, and personalize user experiences. CRM Systems CRM systems are the perfect example of datafication at work. Using datafication, customer interactions, including purchase history and support interactions, organizations can make informed decisions to take their business to the next level.

4. Large Language Models (LLM) In 2025, 50% of digital work is estimated to be automated through apps using large language models (LLMs). As LLM-based solutions gain momentum, businesses have come to think of them as thinking machines. Language models are highly popular among organizations working in retail, e-commerce, marketing, education, finance, and healthcare, offering real-time updates on regulatory changes, detecting fraudulent financial activities, and providing personalized financial advice. Autonomous Workplace Assistances (AWAs) Autonomous workplace assistances (AWAs) are infused with Large-language-model capabilities, and these digital co-workers are expected to be utilized in 10% of operational processes for SMBs and Enterprises to streamline tasks and foster an efficient workplace, as per Forrester.

5. Navigating the Ethical Concerns and Risks of AI As AI becomes more integrated into our daily lives, ethical and societal concerns emerge. Issues around privacy, bias, and accountability will need to be addressed, and organizations and regulators will collaborate to establish frameworks that ensure responsible AI use. The dual-edged sword of AI-generated code can uncover vulnerabilities and introduce security flaws, potentially leading to breaches. Applications built on generative AI platforms, such as ChatGPT, face intense regulatory scrutiny, particularly regarding the handling of personally identifiable information (PII). Forrester predicts that these applications might incur higher fines compared to entities like OpenAI due to the added vulnerabilities from third-party technologies and a lack of sufficient resources and expertise to manage these risks effectively.

6. Hyperscalers in the Digital Age Hyperscale data centers stand out for their ability to network vast numbers of servers, achieving unparalleled scalability primarily for cloud computing and big data purposes. These data centers, crucial components of the digital infrastructure, are characterized by their agile architecture that effortlessly adapts to fluctuating demands, seamlessly allocating tasks across storage, processing, and network resources. Industry Giants Leading the charge in this innovative landscape are industry giants such as Amazon Web Services, Microsoft, and Google, who have set the standard for hyperscale computing capabilities.

7. Quantum Computing Quantum computing is an emerging technology focused on developing computer technology with quantum theory. It uses quantum bits or qubits. In 2024, IBM will have a new EU quantum data center in Ehningen, Germany, bringing local quantum resources to Europe. It will have easier information processing tasks and it will be cost-effective as per a study by Gartner. Financial Services The Goldman Sachs Group, Inc., a worldwide investment bank and financial services corporation, uses quantum computing to have a big influence on financial services. Traditional computers would take an age to accomplish computations that quantum computers will solve in a fraction of the time. It will boost the technology's ability to outperform traditional computers for financial applications in the future.