By Stephany Lapierre, CEO and founder, TealBook
As we approach 2024, the pace of technological innovation continues to accelerate and redefine all industries. In the world of tech and IT specifically, we are on the brink of groundbreaking developments that will influence how we work, communicate and live our day-to-day lives. From AI and machine learning (ML) earning greater prominence in software and services to advances in connectivity through next-generation wireless networks – emerging technologies have tremendous disruptive potential.
Next year is positioned to be pivotal for innovation, but the pace of progress presents several challenges. IT leaders and procurement professionals alike have critical decisions to make, particularly as economic uncertainty complicates budget management.
To understand where the world of technology is heading in 2024, let’s analyze some of the most transformative innovations brewing today and how they will redefine the IT landscape for businesses and consumers in the very near future. I’ve tapped additional industry leaders to share their perspectives on upcoming trends and their role in company success in 2024 and beyond.
LLM and GenAI use cases will follow the software engineering blueprint
“When we talk about generative AI, the importance of machine learning (ML) often gets lost in translation. In their current state, LLMs like ChatGPT and Bard aren’t true AI – rather, they are ML systems trained on expansive data sets. Training of this magnitude is extremely difficult, not to mention expensive. In fact, training to the tune of $50 million can still leave your AI system with glaring gaps in knowledge and output.
Instead of throwing more money at this problem, data leaders will likely understand the futility of building “one GenAI system to rule them all.” It’s far more reliable and affordable to rely on various AI- and ML-based systems with granular use cases. For example, one tool may offer highly nuanced outputs about music, while another focuses on mathematics. Now, instead of spending millions to train one system, you’ve cut your budget and timeline in half by focusing on smaller, more accurate GenAI integrations. When you think about it, this system mirrors the philosophy of software engineering: Higher abstraction, better outputs.” – Quentin Schmick, VP of Engineering, TealBook
Disaster recovery will become a vital piece of the security puzzle
“Disaster Recovery (DR) and incident response planning will be a bigger part of security conversations moving forward. Why? Reactive protection, detection, and response strategies are only part of a comprehensive cybersecurity readiness posture. For reference, the National Institute of Standards and Technology (NIST) Cybersecurity Framework includes Identify / Protect / Detect / Respond / Recover. Proactive preparation and business continuity strategies need to book end reactive strategies.
If the recent MGM breach has taught the industry anything, it’s that even the best-protected organizations can be breached by a determined attacker. Leaders must dedicate more attention and budget to post-attack recovery strategies – in addition to prevention and detection measures – in the new year.” – Zack Moore, Product Manager, Security at InterVision Systems
Read the full article here.
