Emergent and Impact Trends of 2024... end 2023 from Gartner (Part 1 of 2)

For my 1st article on LinkedIn, I have chosen to split it into two separate releases with an awareness that one publication wouldn't be enough to properly cover all areas at hand: the first article, where you are, analyze the 2024 prediction; in contrast, the second compares the analysis of the 2023 one to derive Insights and try to make a prediction for 2025. It's an experiment... let's see what we can get out!

Every year Gartner publish a Radar with the emergency trends and technologies including the ones expected to impact according to different time-frame both business and personal lifes.

These technologies are categorized into four main themes:

• Smart World: Including technologies like AI avatars, digital twins, and smart spaces that merge online and offline experiences;
• Productivity Revolution: Focused on innovations like model compression and autonomous UAVs to enhance efficiency;
• Privacy and Transparency: Including decentralized identity systems and responsible AI to address ethical concerns;
• Critical Enablers: Featuring advancements like quantum processors and hyperscale edge computing to support infrastructure growth.

It's a tactic and strategic graph for several reasons:

Identifying Emerging Technologies:

1. Early Detection: The Gartner Radar will enable organizations to locate technologies that are just cropping up. This early discovery can give a company a relative competitive advantage to explore and use new technologies before they are picked up by other companies.
2. Innovation Focus: The radar is further incentivizing innovation, putting a sharp focus on innovation and R&D by companies to keep up with the changing market.

Understanding Market Impact:

1. Strategic Planning: This will give an understanding of the impact of the emerging technologies on individual industries, allowing businesses to develop what are usually called strategic blueprints for capitalizing on these technologies.
2. Risk Management: When companies understand possible disruptions from new technologies, they are better able to manage the risks and can prepare in advance for a possible shift in markets.

Guiding Investment Decisions:

1. Resource Allocation: The radar will guide the pinpointing of organizational resource allocation for capital investment and the human workforce in anticipation of higher returns from the new technologies.
2. Informed Decision-Making: Detailed analytical data and forecasts will allow making informed decisions about where organizational investments and developments will go.

Enhancing Competitive Edge:

1. Market Leadership: Companies staying updated with emerging technologies are better positioned to become leaders in the market, capitalizing on new opportunities before their competitors;
2. Customer Satisfaction: With newer technologies, businesses can also improve their products and services, thus increasing customer satisfaction and loyalty toward the business.

Shaping Industry Trends:

1. Influencing Development: Since the radar will point out areas of primary innovation that attract significant research study and investments, it will have a role in leading the way for technological development;
2. Setting Standards: Based on the emerging technologies identified, standards of practice and industry best practices will be laid out for the smooth adaption and integration of those technologies.

Supporting Organizational Growth:

1. Talent Development: Understanding new technologies helps organizations know what kind of skilled and expert abilities to nurture within their workforces so they will constantly keep on learning and growing;
2. Agility and Adaptability: Organizations that are radar-informed are more agile and adaptive, better prepared for changes in business climates and for benefiting from new opportunities.

30 Emerging Technologies That Will Guide Your Business Decisions - 2024

You can access to the source page of the study and download the Hi-Res version of the graph from here (Gartner): https://www.gartner.com/en/articles/30-emerging-technologies-that-will-guide-your-business-decisions

You were expecting something different? Do you see (or don't see...) remarkable names as... Metaverse?

Let's dive deeper into each by timeframe:

Near-Term Impact (0 to 1 Year)

#GenerativeAI

Generative AI is set to maintain its lead due to its extensive use in content creation, customer service, and personalized recommendations. With advancements in model architectures, especially more efficient transformers, these AI systems will generate high-quality text, images, video, and music, boosting their integration across various industries. The push for innovation in creative fields and the demand for improved user experiences in digital interactions further drive this trend. Generative AI's ability to provide unique and tailored outputs will be crucial for businesses aiming to stand out.

#ResponsibleAI

The focus on Responsible AI will intensify as regulatory frameworks develop and societal expectations for ethical AI practices grow. Transparency, fairness, and accountability are crucial, especially in healthcare, finance, and criminal justice, driven by past instances of AI bias and misuse. Organizations will prioritize creating and implementing responsible AI guidelines to maintain public trust and adhere to emerging regulations, making Responsible AI a key focus.

#AI Chips

The adoption of AI Chips is increasing due to the need for specialized hardware that supports the computational demands of AI applications. Unlike general-purpose processors, AI chips are optimized for deep learning and neural network inference, offering significant performance improvements and energy efficiency. This trend is driven by the widespread use of AI in autonomous vehicles, smart devices, and data centers, where enhanced processing capabilities are essential. Leading tech companies are developing AI chips, reflecting a strong market push towards these specialized processors, which will be crucial for advancing AI technologies.

Near-Term Impact (1 to 3 Years)

#Human-Centered AI

Human-Centered AI will gain more attention as the importance of designing AI systems that align with human values and needs is increasingly recognized. This involves creating AI that is intuitive, accessible, and capable of effective collaboration with humans. The goal is to improve user experience and ensure AI technologies augment human capabilities rather than replace them. Industries like healthcare, education, and customer service will benefit from AI systems that enhance human interactions.

See more here (TowardsDataScience): https://towardsdatascience.com/a-framework-for-a-human-centered-ai-based-on-the-laws-of-nature-a8bfbb233250

#Intelligent #Applications

Intelligent Applications will expand into new sectors, driven by continuous advancements in AI. These applications, which provide smarter and more adaptive user experiences, are becoming essential in industries like finance and retail. The need for software that can autonomously learn and improve, offering personalization, predictive analytics, and automation, is increasing. Businesses striving for efficiency and competitive advantage will adopt intelligent applications, making them a significant focus.

See more here (DataBridgeMarketResearch): https://www.databridgemarketresearch.com/reports/global-intelligent-apps-market

LEO #Satellite Mega Constellations

The deployment of LEO (Low Earth Orbit) Satellite Mega Constellations will continue to grow, aimed at improving global connectivity. These satellite networks provide high-speed internet access to remote and underserved areas, addressing the digital divide worldwide. Companies like SpaceX and Amazon are investing heavily in this technology, recognizing its potential to offer reliable internet service globally. The deployment of LEO satellites will enhance communication infrastructure, support remote work and education, and facilitate digital inclusion, making it a critical technology in the near term.

See more here (SatelliteToday): https://interactive.satellitetoday.com/via/december-2023/whats-next-in-the-constellation-era/

Mid-Term Impact (3 to 6 Years)

#Quantum Processors

Advancements in quantum computing, particularly in Quantum Processors, will lead to initial commercial applications. Quantum processors can solve complex problems that are currently intractable for classical computers, such as optimization problems, cryptographic challenges, and molecular simulations. Ongoing research and investment in quantum technologies by academic institutions and major tech companies will drive this trend. As quantum processors become more stable and scalable, they will find practical applications in fields like pharmaceuticals, logistics, and financial services, driving significant technological advancements.

See more here (FortuneBusinessInsights): https://www.fortunebusinessinsights.com/quantum-computing-market-104855

and here (a post published 2 days ago on LinkedIn): https://www.dhirubhai.net/pulse/ibm-boosts-qiskit-leading-quantum-software-toolkit-govindhtech-kah2f/

Private #5G

The widespread adoption of Private 5G networks will enhance telecommunications infrastructure, offering high-speed, low-latency communication tailored to specific organizational needs. This trend is driven by industries that require secure, reliable, and high-performance connectivity, such as manufacturing, healthcare, and logistics. The increasing demand for network solutions that support advanced applications like industrial IoT, real-time data analytics, and remote operations will accelerate the deployment of private 5G networks, transforming the telecommunications landscape.

See more here (NybSys): https://nybsys.com/private-5g-network-market-size/

#Hyperscale #Edge Computing

Hyperscale Edge Computing will scale up to support more complex AI and IoT applications, driven by the need for real-time data processing and reduced latency. Deploying computational resources closer to the data source is critical for applications requiring immediate insights and actions, such as autonomous vehicles, smart cities, and industrial automation. The growing volume of data generated at the edge and the limitations of central cloud processing in handling this data efficiently will drive this trend. Hyperscale edge computing will enable faster decision-making and enhance the performance of edge applications, making it a key technology in the mid-term.

See more here (TechRadar): https://www.techradar.com/pro/edge-computing-spending-set-to-skyrocket-as-ai-takes-hold

Long-Term Impact (6 to 8 Years)

#Neuromorphic #Computing

The continued development towards mainstream adoption of Neuromorphic Computing will offer transformative potential in AI. Neuromorphic chips mimic the human brain’s neural architecture, promising significant improvements in energy efficiency and processing speed for AI tasks. The increasing complexity of AI models and the need for more efficient computing paradigms motivate this trend. As research progresses and neuromorphic hardware becomes more advanced, its ability to handle complex cognitive tasks and adaptive learning will drive its adoption, particularly in applications requiring low power consumption and real-time processing, such as robotics and autonomous systems.

See more here (PolarisMarketResearch): https://www.polarismarketresearch.com/press-releases/neuromorphic-computing-market

#6G

6G technology is predicted to re-emerge with significant advancements and readiness for deployment. Building on the capabilities of 5G, 6G will offer even higher speeds, lower latency, and enhanced connectivity features, supporting the next generation of digital applications. The continual demand for better communication technologies to support emerging trends like immersive AR/VR experiences, advanced IoT, and ubiquitous connectivity drives this trend. Research and development in 6G are already underway, and by the long-term horizon, it is expected to be ready for commercial use, revolutionizing how we interact with technology and each other.

See more here (RCRWireless): https://www.rcrwireless.com/20231213/6g/china-aims-6g-commercialization-2030-report

#Blockchain 2.0

The evolution of blockchain technologies to address current limitations and expand use cases, referred to as Blockchain 2.0, will be a key focus. This new iteration will aim to improve scalability, interoperability, and energy efficiency, overcoming the challenges that have hindered widespread adoption of blockchain. The recognition of blockchain’s potential to revolutionize sectors such as finance, supply chain, and digital identity management motivates this trend. As these improvements are realized, blockchain will find broader applications and integration into various industries, enhancing trust, security, and efficiency in digital transactions and data management.

See more here (McKinsey): https://www.mckinsey.com/industries/industrials-and-electronics/our-insights/blockchain-2-0-whats-in-store-for-the-two-ends-semiconductors-suppliers-and-industrials-consumers

I hope you've enjoyed this first part... either way, I'll see you in the comments!

#Gartner #Prediction #Future #Strategy #Tactics #Innovation #Leadership #DisruptiveTech #Vision Rosie Pokorchak Peter Steube