What's Next For The Modern Data And AI Stack? 5 Predictions From ...
What's new in Azure Data, AI, and Digital Applications
As companies race to build or modernize intelligent apps that incorporate generative AI, many are finding gaps in their tech-stack ...
modern data-sharing and storage options compatible with the partner's data-stack. 5. Deep integration with the remaining layers of the AI bank—that is, the ...
5 Pitfalls of the Modern Data Stack For Startups - Towards AI
It is necessary to consider long-term data development. Primarily, we should consider the associated ecosystem and community due to the nature ...
2025 Predictions: AI Finds a Reason to Tap Industry Data Lakes
NVIDIA AI experts predict a rise in intelligent stores, a new class of robots and breakthroughs in healthcare, manufacturing and more.
You can securely use your enterprise data to augment, fine-tune or build your own machine learning and generative AI models, powering them with a semantic ...
Cloudera | The hybrid data company
Cloudera delivers a hybrid data platform with secure data management and portable cloud-native data analytics.
Modern data stack: Must-have components - Nexla
Data stacks of the future · Analyze and use data to make automated decisions through machine learning and artificial intelligence. · Process and store data ...
New Relic | Monitor, Debug and Improve Your Entire Stack
Sign up for free, no credit card required with New Relic the all-in-one observability platform for engineers to monitor, debug, and improve their entire ...
The Future of Generative AI (2024): 8 Predictions to Watch - eWEEK
Most experts and tech leaders agree that generative AI is going to significantly change what the workforce and workplace look like, but they're ...
Data, Analytics and AI: What Will Happen in 2023 - The New Stack
But what about data management? We do have lots of predictions here, both for its subcategories and even for specific individual technologies.
DataStax Releases Top Five Generative AI Predictions for 2024
SANTA CLARA, Calif., January 04, 2024--DataStax, the company that powers generative AI applications with real-time, scalable data today ...
AI Infrastructure: 5 Key Components & Building Your AI Stack - Run:ai
It serves as the backbone of any AI platform, providing the foundation for machine learning algorithms to process vast amounts of data and generate insights or ...
AI marketing: What does the future hold? - SAS Institute
We will finally realize the shift from automation to personalization and eventually anticipation and prediction. Welcome to a new era of AI marketing, where ...
The Role of a Modern Data Stack in Next-Gen Fundraising - Classy
Data teams no longer need to rely on manual methods and can instead embrace automation, advanced analytics, and cloud-based technologies to ...
100 Top AI Companies Trendsetting In 2024 - Datamation
These AI companies are shaping the future of these diverse industries by demonstrating how AI can solve real-world problems and generate ...
Top Trends in Data & Analytics (D&A) - Gartner
AI engineering and new roles: Democratize DSML and AI across technical roles. · Recipes and blueprints: Blur the line between software and custom code and allow ...
Artificial Intelligence (AI) in Supply Chain and Logistics
Some of the AI systems are so advanced that they can even predict and discover new consumer habits and forecast seasonal demand. This level of AI application ...
The Reality of Building a Modern AI Data Stack - YouTube
Join this talk to explore the complexities of building a modern AI data stack, balancing complexity, cost, scalability and performance.
DataFramed Podcast Series: AI and the Modern Data Stack
What you'll learn: Benn and Adel talk about the nature of AI-assisted analytics workflows, the potential for generative AI in assisting problem- ...
AI and the future of unstructured data - IBM Blog
“Most data being generated every day is unstructured and presents the biggest new opportunity.” We wanted to learn more about what unstructured ...