DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workkloads.

Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Related

  • Getting Started With GenAI on BigQuery: A Step-by-Step Guide
  • Transforming AI-Driven Data Analytics with DeepSeek: A New Era of Intelligent Insights
  • AI, ML, and Data Science: Shaping the Future of Automation
  • Docker Model Runner: Streamlining AI Deployment for Developers

Trending

  • How To Replicate Oracle Data to BigQuery With Google Cloud Datastream
  • Mastering Fluent Bit: Installing and Configuring Fluent Bit on Kubernetes (Part 3)
  • Setting Up Data Pipelines With Snowflake Dynamic Tables
  • AI, ML, and Data Science: Shaping the Future of Automation
  1. DZone
  2. Data Engineering
  3. AI/ML
  4. Infrastructure Predictions for 2024

Infrastructure Predictions for 2024

Enterprises see an AI adoption inflection point, ransomware threats collide with penalties, hybrid cloud architecture goes mainstream, infrastructure upgrades are key.

By 
Tom Smith user avatar
Tom Smith
DZone Core CORE ·
Dec. 11, 23 · Opinion
Likes (1)
Comment
Save
Tweet
Share
2.5K Views

Join the DZone community and get the full member experience.

Join For Free

As we enter 2024, the technology landscape continues to evolve at a rapid pace. While economic uncertainties persist, investments in digital transformation and emerging technologies like AI and cloud continue to accelerate.  

I connected with experts from Nasuni to get their take on some of the key tech predictions for the year ahead. Here are some of the pivotal trends and challenges they foresee.

AI Adoption Reaches Inflection Point Amid Data Disorder

According to Jim Liddle, Chief Innovation Officer at Nasuni, 2024 will be a "make-or-break year" for enterprises implementing AI. While interest boomed in 2023 on the promise of competitive advantage, systemic data issues threaten progress.

"Before they can integrate AI effectively, organizations will first have to address how they collect, store, and manage their unstructured data, particularly at the edge," Liddle explains. Getting AI right requires modernizing data infrastructure to support capabilities like visibility, governance, classification, and availability across hybrid environments.  

As pressure mounts from corporate boards, data management, and visibility will rapidly emerge as urgent priorities. Companies that transform their data platforms will power ahead with AI, while others find themselves stalled.

The Ransomware and Compliance Collision Course

Liddle also warns that the ransomware threat will continue evolving and spreading in 2024, expanding well beyond its US origins. Healthcare, government, critical infrastructure, and other under-protected industries with sensitive data will attract sophisticated global attacks. 

At the same time, expanding regulations like GDPR and CCPA carry strict data privacy penalties and mandate rapid breach reporting. "By delaying their investment in protection and compliance solutions until forced to, many large organizations will soon face the possibility of steep penalties, ransom demands, and business disruption simultaneously," Liddle says.

The Hybrid Cloud Revolution Accelerates

According to Russ Kennedy, Chief Product Officer at Nasuni, we'll see rapid adoption of hybrid cloud architectures in 2024 as leaders embrace the combination of edge and cloud capabilities. On-premises infrastructure captures and consolidates real-time data, while the cloud provides abundant storage, backups, disaster recovery, and advanced analytics.

Kennedy explains further: "To remain competitive in a data-driven world, enterprises need high-performance processing at the edge where data is generated, in combination with the scale, capacity, and advanced tools available in the cloud."

Upgrading Infrastructure To Support the New World of Work  

The pandemic-fueled shift to hybrid work left many IT teams scrambling to provide secure remote collaboration at scale. While initial measures kept businesses operating, workarounds caused shadow IT sprawl and eroded data oversight.

"Heading into 2024, establishing governance and upgrading data infrastructure remain urgent priorities to support the new world of work," Kennedy says. The organizations that implement solutions to streamline remote work processes and data sharing will thrive; those that don't will struggle to attract top talent.

In summary, 2024 promises economic opportunities coupled with intensifying threats. Navigating these turbulent times requires organizations to become data-centric, cloud-enabled, and AI-powered in order to out-innovate and out-secure the competition. 

What potential pivots and pitfalls do you see on the road ahead?

AI Machine learning

Opinions expressed by DZone contributors are their own.

Related

  • Getting Started With GenAI on BigQuery: A Step-by-Step Guide
  • Transforming AI-Driven Data Analytics with DeepSeek: A New Era of Intelligent Insights
  • AI, ML, and Data Science: Shaping the Future of Automation
  • Docker Model Runner: Streamlining AI Deployment for Developers

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!