#agentic AI

[peterbordes]

Nvidia’s Jensen Huang says AI agents are ‘a multi-trillion-dollar opportunity’ at last nights CES AI keynote. Let that “multi Trillion” sink in, because this global movement is just getting started.

[procurement-insights]

Is this a fair representation of what we can expect from Agentic AI?

Some will agree with this, and some won't - what do you think?

30

[digiworkforce]

Master AI Agent Implementation with our AI Agent Advanced Course. Become a proficient AI Business Analyst and elevate your career. Enroll now for €499!

[jcmarchi]

2025 AI Trends That Will Reshape the World of Marketing and PR

New Post has been published on https://thedigitalinsider.com/2025-ai-trends-that-will-reshape-the-world-of-marketing-and-pr/

2025 AI Trends That Will Reshape the World of Marketing and PR

As we step into 2025, artificial intelligence is undergoing a seismic shift, one that moves beyond the familiar buzz surrounding generative AI. The spotlight is turning toward cognitive AI—a more sophisticated, context-aware evolution of artificial intelligence. This paradigm shift positions data not as a passive resource but as an active, dynamic force—a reservoir of kinetic energy driving strategic decision-making across industries. From marketing campaigns to risk management, cognitive AI will redefine the way organizations operate, innovate, and compete.

Let’s dive deeper into the trends and predictions that will shape AI’s trajectory in 2025, transforming the future of business, creativity, and beyond.

1. Data Becomes A Kinetic Decision-Making Catalyst

In 2025, data will no longer be a dormant asset sitting in databases, waiting for extraction and analysis. Instead, cognitive AI will activate data as a continuous driving force, enabling real-time, proactive decision-making. This evolution marks a significant departure from traditional AI models reliant on historical analysis, offering businesses a dynamic, forward-looking edge.

For example, marketing teams leveraging cognitive AI will no longer rely solely on past performance or manual forecasting to build campaigns. Instead, these systems will analyze audience sentiment, competitor activity, and market dynamics in real time, ensuring campaigns are both timely and highly effective. This kinetic approach transforms data from a static reservoir into a strategic partner, capable of anticipating needs, mitigating risks, and identifying opportunities with unprecedented speed.

Similarly, in risk management, cognitive AI systems will continuously monitor global trends, economic indicators, and internal operations to predict and address vulnerabilities. Whether it’s flagging potential supply chain disruptions or detecting fraud patterns, the ability to treat data as a kinetic force will allow businesses to pivot faster and make more precise, informed decisions.

2. AI Procurement Under the Microscope: Substance Over Hype

The AI gold rush of the early 2020s often prioritized hype over substance, with organizations rushing to adopt tools based on inflated promises and vague ROI metrics. In 2025, however, procurement teams are taking a more informed and disciplined approach to evaluating AI solutions.

This shift includes arming procurement teams with skilled technologists capable of stress-testing vendor claims. AI tools will need to prove their functionality, scalability, and security under rigorous conditions. No longer will flashy demos or industry buzzwords suffice—vendors will be held accountable for demonstrating real-world impact and measurable value.

This evolution in procurement practices will create a clear divide in the marketplace. Providers with genuine, impactful solutions will rise, while those relying on hype will struggle to stay relevant. Ultimately, this trend fosters a healthier AI ecosystem, one grounded in trust, accountability, and tangible results.

3. Training and Investment in AI

As AI becomes integral to nearly every facet of business, organizations can no longer treat training and investment in AI tools as optional. Building private AI environments will become a key focus, allowing companies to retain control over their data while ensuring compliance with emerging regulations.

Training employees to work effectively with AI is equally critical. Many organizations still face skills gaps, with employees unsure how to interact with or maximize AI tools. Comprehensive training programs will empower teams to fully leverage AI’s capabilities while fostering collaboration between humans and machines.

Key areas for investment include:

Permissioning: Implementing precise access controls to ensure AI systems interact only with authorized data sources, reducing risks and enhancing security.

Data Hygiene: Establishing rigorous standards to maintain the accuracy and integrity of training data, minimizing biases and errors.

Compliance: Aligning AI practices with legal frameworks such as GDPR and industry-specific regulations, ensuring ethical and transparent operations.

These investments will position companies as trusted leaders in their fields while setting a strong foundation for long-term success in an increasingly AI-driven world.

4. Enter Agentic AI and The Rise of Personalized AI Assistants

Agentic AI represents the next evolution of AI, transforming workflows and redefining productivity. These intelligent systems will act as personalized extensions of their human counterparts, capable of adapting to individual working styles and needs.

For professionals in communications, marketing, and public relations, agentic AI will handle time-intensive tasks with unmatched efficiency. Imagine an AI assistant that can generate detailed campaign reports in seconds, analyze campaign performance for actionable insights, and tailor outputs to match an individual’s unique voice.

These “mini-yous” will not only streamline workflows but also enhance creativity and decision-making by freeing professionals to focus on high-value, strategic activities. Over time, these agents will become more intuitive, learning from their users and delivering increasingly personalized support.

Agentic AI signals a future where professionals can achieve more with less effort, pushing the boundaries of productivity and innovation.

5. Democratization of Advanced AI

Historically, the high cost of advanced AI technologies like large language models (LLMs) has been a significant barrier for smaller organizations. However, 2025 will mark a turning point in the democratization of AI, driven by two key factors:

Falling Costs of LLMs: Innovations in AI infrastructure and increased competition will make deploying LLMs more affordable, allowing mid-sized and smaller organizations to access cutting-edge tools previously reserved for enterprise-level companies.

The Rise of Domain-Specific Small Language Models (SLMs): While LLMs dominate the conversation, SLMs—models tailored to specific industries or applications—will gain traction. These smaller, more efficient models will offer businesses cost-effective solutions without sacrificing relevance or accuracy.

The democratization of advanced AI tools will spark innovation across industries, leveling the playing field and allowing smaller players and brands to compete with their larger, more established companies.

Preparing for the Cognitive AI Era

The transition from generative AI to Cognitive AI is more than a technological shift—it’s a call to action. Success in this new era will require businesses to adopt a proactive approach, focusing on three critical areas:

AI Literacy: Empower teams with the knowledge and skills to interact with AI tools effectively and confidently.

Ethical Practices: Prioritize transparency, accountability, and fairness to build trust and ensure responsible AI use.

Collaboration: Treat AI as a partner rather than a tool, blending human expertise with machine intelligence to achieve more.

Cognitive AI isn’t just an evolution in technology—it’s a transformative force reshaping how we engage with information, make decisions, and drive creativity. By harnessing its potential, organizations can move beyond adapting to change and position themselves to lead it. The question is: are you ready?

[wedesignyouny]

CIBC Innovation Banking Provides Growth Capital to AI-Powered Go-to-Market Platform Landbase

CIBC Innovation Banking Provides Growth Capital to AI-Powered Go-to-Market Platform Landbase

SAN FRANCISCO & TORONTO--(BUSINESS WIRE)--CIBC Innovation Banking has provided growth capital financing to Landbase, an AI-powered go-to-market automation platform. The funding will support Landbase's growth plans and product development.

Landbase's platform leverages machine learning technology to automate sales and marketing workflows. The company's GTM-1 Omni agentic AI model enables businesses to streamline their go-to-market processes through automated prospect research, personalized messaging, and campaign optimization.

CEO Daniel Saks on Transforming Go-to-Market Strategies

Daniel Saks, CEO of Landbase, said: "Traditional go-to-market approaches have been plagued by fragmented teams, high costs, and inefficiencies. With Landbase, we're transforming this landscape by introducing intelligent automation that combines the best of AI and human performance. This growth capital from CIBC Innovation Banking will help us accelerate our mission to revolutionize how businesses approach their go-to-market strategies." 

Why CIBC Chose Landbase: Insights from Josh Olawale

Josh Olawale, Director at CIBC Innovation Banking said: "Landbase has developed a solution that addresses the increasing need for automation in sales and marketing operations. With an experienced management team and growing market demand for AI-enabled solutions, Landbase is well-positioned to expand its presence in the go-to-market software space."

About CIBC Innovation Banking

CIBC Innovation Banking delivers strategic advice, cash management and funding to innovation companies across North America, the UK, and select European countries at each stage of their business cycle, from start up to IPO and beyond. With offices in Atlanta, Austin, Boston, Chicago, Denver, Durham, London, Menlo Park, Montreal, New York, Reston, Seattle, San Francisco, Toronto and Vancouver, the team has extensive experience and a strong, collaborative approach that extends across CIBC’s commercial banking, private banking, wealth management and capital markets businesses.

About Landbase

Landbase is an Agentic AI company that intelligently automates go-to-market workflows for businesses. Landbase has trained the GTM-1 Omni model on billions of data points, enabling organizations to launch highly relevant, omnichannel campaigns with minimal manual input. By combining machine intelligence with top human performance, the Landbase platform empowers businesses to scale their lead generation efforts autonomously, delivering proven success in improving conversion rates while lowering total cost of ownership.

[infovistar]

Artificial Intelligence (AI) is rapidly reshaping the way industries operate, bringing new opportunities and challenges. In 2025, AI agent tools are evolving to make development easier, faster, and more efficient. These tools empower businesses, developers, and industries to work smarter and achieve more.

[sanjay-jen95]

MediaTek Dimensity 9400 merupakan chipset pertama di dunia yang mampu menyediakan mesin AI-Agentik pada smartphone. Selain itu, MediaTek Dimensity 9400 juga menjadi chipset pertama di dunia yang mampu melakukan generasi video dalam perangkat dan juga melakukan pelatihan LoRA pada perangkat. Wah inovasi teknologi yang sanggat canggih hadir pada chipset untuk smartphone flagship terbaru milik MediaTek!

[aitalksblog]

Top Weekly AI News – January 03, 2025

AI News Roundup – January 03, 2025 Meta’s AI Profiles Are Already Polluting Instagram and Facebook With Slop Meta’s use of AI-generated profiles is criticized for producing low-quality content and contributing to a less authentic user experience. Concerns are raised about the potential for deception and the prioritization of engagement over genuine human interaction gizmodo Jan 03, 2025 Small…

[esignature19]

Emerging Trends in AI in 2024

Artificial Intelligence (AI) is not just a buzzword anymore; it’s a driving force behind the digital transformation across industries. As we move into 2024, AI continues to evolve rapidly, introducing new possibilities and challenges. From enhancing business processes to reshaping entire sectors, AI's influence is expanding. Here, we explore the emerging AI trends in 2024 that are set to redefine how we live, work, and interact with technology.

Emerging trends in Artificial Intelligence (AI) in 2024

AI-Driven Creativity: Expanding the Horizons of Innovation One of the most exciting trends in AI for 2024 is its growing role in creative processes. AI is no longer limited to analyzing data or automating tasks; it is now actively contributing to creative fields. AI-driven creativity refers to the use of AI to generate new ideas, designs, and even art. This trend is particularly prominent in industries such as fashion, entertainment, and design, where AI algorithms are being used to create novel designs, suggest creative concepts, and even compose music. For example, AI can analyze vast amounts of data to identify emerging design trends, which can then be used to create new products that align with consumer preferences. In the entertainment industry, AI is being used to generate scripts, compose music, and even create digital art. This trend is pushing the boundaries of creativity, enabling human creators to collaborate with AI in unprecedented ways. As AI continues to develop its creative capabilities, we can expect to see more AI-generated content across various media, leading to a fusion of human and machine creativity that will redefine innovation.

AI-Powered Automation: Transforming Business Operations Automation has been a key application of AI for years, but in 2024, AI-powered automation is set to reach new levels of sophistication. AI is increasingly being used to automate complex business processes, from supply chain management to customer service. This trend is driven by advancements in machine learning and natural language processing, which enable AI systems to perform tasks that were previously thought to require human intelligence. One area where AI-powered automation is making a significant impact is in customer service. AI chatbots and virtual assistants are becoming more advanced, capable of understanding and responding to complex customer queries in real-time. This not only improves the customer experience but also reduces the need for human intervention, allowing businesses to operate more efficiently. In addition to customer service, AI-powered automation is also being used in manufacturing, logistics, and finance. For example, AI algorithms can optimize production schedules, predict maintenance needs, and even automate financial transactions. As businesses continue to adopt AI-powered automation, they can expect to see increased efficiency, reduced costs, and improved decision-making capabilities.

AI and Sustainability: Driving Environmental Innovation As the world grapples with the challenges of climate change, AI is emerging as a powerful tool for driving sustainability. In 2024, AI is being used to develop innovative solutions that reduce environmental impact and promote sustainability across various sectors. This trend is particularly evident in areas such as energy management, agriculture, and transportation. One of the most promising applications of AI in sustainability is in energy management. AI algorithms can analyze energy consumption patterns and optimize the use of renewable energy sources, such as solar and wind power. This not only reduces carbon emissions but also lowers energy costs for businesses and consumers. In agriculture, AI is being used to optimize farming practices, from precision irrigation to crop monitoring. By analyzing data from sensors and satellites, AI can help farmers make more informed decisions, leading to increased crop yields and reduced resource use. This trend is critical for addressing the global challenges of food security and environmental sustainability. Moreover, AI is playing a crucial role in the development of smart cities, where it is used to optimize transportation systems, reduce traffic congestion, and minimize pollution. As AI continues to drive sustainability, it will play a pivotal role in creating a more sustainable and resilient future.

AI Ethics and Responsible AI: Ensuring Trust and Transparency As AI becomes more integrated into our daily lives, concerns about its ethical implications are growing. In 2024, AI ethics and responsible AI development are emerging as critical areas of focus for businesses, governments, and researchers. Ensuring that AI is developed and used responsibly is essential for maintaining public trust and preventing unintended consequences. One of the key ethical concerns surrounding AI is bias in decision-making algorithms. AI systems are often trained on historical data, which may contain biases that can lead to unfair outcomes. For example, AI algorithms used in hiring or lending decisions may inadvertently discriminate against certain groups. To address this issue, researchers and companies are developing techniques to detect and mitigate bias in AI systems. Another important aspect of AI ethics is transparency. Users need to understand how AI systems make decisions, especially when those decisions have significant impacts on their lives. This has led to a push for explainable AI, where the decision-making process is clear and understandable to humans. Additionally, there is a growing emphasis on AI governance, where organizations are establishing frameworks and guidelines for responsible AI development. This includes ensuring that AI systems are used in ways that align with ethical principles, such as fairness, accountability, and transparency. As AI continues to evolve, addressing its ethical challenges will be critical to ensuring that it benefits society as a whole.

AI in Healthcare: Revolutionizing Patient Care The integration of AI in healthcare is not a new trend, but in 2024, it is set to revolutionize patient care in unprecedented ways. AI is being used to improve diagnostics, treatment planning, and patient outcomes, making healthcare more efficient and accessible. One of the most significant applications of AI in healthcare is in medical imaging. AI algorithms can analyze medical images, such as X-rays and MRIs, with incredible accuracy, often detecting abnormalities that might be missed by human doctors. This can lead to earlier diagnosis and treatment of diseases like cancer, ultimately saving lives. In addition to diagnostics, AI is also being used to develop personalized treatment plans. By analyzing a patient's genetic information, medical history, and lifestyle, AI can recommend treatments that are most likely to be effective for that individual. This personalized approach not only improves patient outcomes but also reduces the likelihood of adverse reactions to treatments. Moreover, AI is playing a crucial role in drug discovery. AI algorithms can analyze vast amounts of data to identify potential new drugs and predict how they will interact with the human body. This accelerates the drug development process, bringing new treatments to market faster. As AI continues to advance in healthcare, it will lead to better patient outcomes, more efficient healthcare systems, and ultimately, a healthier population. Conclusion The year 2024 is set to be a transformative one for AI, with emerging trends that will shape the future of technology, business, and society. From AI-driven creativity and automation to sustainability and ethics, these trends highlight the growing influence of AI in our lives. As we navigate this rapidly evolving landscape, it is essential to stay informed and prepared for the changes that lie ahead. By embracing these emerging AI trends, businesses and individuals can harness the power of AI to drive innovation, improve outcomes, and create a better future.

[procurement-insights]

Are Diminishing Returns Undermining AI Initiatives The Way It Did With ERPs?

What is a ProcureTech "Savings Event Horizon?"

Referencing the direct material 2003 ERP story from Procurement Insights (see below), here are the core points to consider: The faster the gains on tech, the more rapid the decline in value – diminishing return. The practitioner agrees to pay licensing and maintenance fees to an ERP solution provider. With a new implementation, there are initial returns. However, as the efficiencies offered…

[digiworkforce]

Discover the World of Agentic AI with our FREE Online AI Agent Course! Enroll now to gain insights and knowledge in this cutting-edge field.

[jcmarchi]

DeepSeek's AI breakthrough: Fewer resources, big impact

New Post has been published on https://thedigitalinsider.com/deepseeks-ai-breakthrough-fewer-resources-big-impact/

DeepSeek's AI breakthrough: Fewer resources, big impact

On December 26th, a modest-sized Chinese company named DeepSeek introduced advanced AI technology, rivaling the top chatbot systems from giants like OpenAI and Google.

This achievement was noteworthy for its capability and the cost-efficiency with which it was developed. Unlike its large competitors, DeepSeek created its artificial intelligence, DeepSeek-V3, using significantly fewer specialized processors, which are typically essential for such advancements.

Cost efficiency and technological breakthrough

These processors are at the heart of a fierce tech rivalry between the U.S. and China. The U.S. aims to keep its lead in AI by restricting the export of high-end chips, such as those from Nvidia, to China.

However, DeepSeek’s success with fewer resources raises concerns about the effectiveness of U.S. trade policies, which have inadvertently spurred Chinese innovation using more accessible technologies.

DeepSeek-V3 impressively handles tasks like answering queries, solving puzzles, programming, and matching industry standards. Remarkably, it was developed with just around $6 million worth of computing resources, starkly contrasting the $100 million Meta reportedly invested in similar technologies.

Chris V. Nicholson from Page One Ventures pointed out that more companies could afford $6 million than the heftier sums, democratizing access to advanced AI technology.

Strategic implications and global impact of DeepSeek

Previously, experts believed only firms with substantial financial resources could compete with leading AI firms, which train their systems on supercomputers requiring thousands of chips.

DeepSeek, however, managed with just 2,000 chips from Nvidia. This efficient use of limited resources reflects the forced innovation resulting from chip restrictions in China, as Jeffrey Ding from George Washington University noted.

Recently, the U.S. tightened these restrictions to prevent China from acquiring advanced AI chips via third countries. This is part of ongoing efforts to limit Chinese firms’ potential military use of these technologies, which have resorted to stockpiling chips and sourcing them through underground markets.

ChatGPT vs Bard: What are the top key differences?

We’re taking a look at Bard vs ChatGPT and their key differences like technology, internet connection, and training data.

DeepSeek, a company rooted in quantitative stock trading, has been leveraging its profits to invest in Nvidia chips since 2021, fueling its AI research rather than consumer products. This focus has allowed it to bypass stringent Chinese regulations on consumer AI, attracting top talent and exploring diverse applications from poetry to complex examinations.

While leading U.S. firms continue to push AI boundaries, DeepSeek’s recent achievements underline its growing prowess in the field. It also highlights the broader shift towards open-source AI, gaining traction as companies like Meta openly share their technologies. This shift increasingly positions China as a central player in AI development, posing a strategic challenge to U.S. dominance in the field.

As the debate continues over the potential risks of open sourcing AI in the U.S., such as spreading misinformation, the global open source community, increasingly led by China, might shape the future of AI development, suggesting a significant geopolitical shift in the technology landscape.

Have you seen our 2025 event calendar?

From agentic AI to LLMOps, this year will be bigger than ever – join us in one of our 19 in-person events across the globe and network with other AI leaders.

Like what you see? Then check out tonnes more.

From exclusive content by industry experts and an ever-increasing bank of real world use cases, to 80+ deep-dive summit presentations, our membership plans are packed with awesome AI resources.

Subscribe now