Featured
Google sets the bar for AI language models with PaLM
Google’s new large language model (LLM) called PaLM (Pathways Language Model) is the first outcome of Pathways, Google’s new AI…
AI / Machine Learning
Google sets the bar for AI language models with PaLM
Google’s new large language model (LLM) called PaLM (Pathways Language Model) is the first outcome…
Massaging AI language models for fun, profit and ethics
Do AI language models really demonstrate intelligence? What about morality? Is it ok to tweak…
Trullion tackles applying AI to accounting workflows
Most of us do not consider accounting to be a separate line of business. But…
NVIDIA unveils Hopper, its new hardware architecture to transform data centers into AI factories
NVIDIA just announced Hopper, a new GPU architecture that promises significant performance improvements for AI…
Trustworthy AI: How to ensure trust and ethics in AI
A pragmatic and direct approach to ethics and trust in artificial intelligence (AI) — who…
Data / Analytics / Data Science
Open-source growth and venture capital investment: Data, databases, challenges, and opportunities
Open-source software used to be poorly understood by commercial forces, and it’s often approached in…
More than words: Shedding light on the data terminology mess
Data management, data governance, data observability, data fabric, data mesh, DataOps, MLOps, AIOps. It’s a…
Graphs as a foundational technology stack: Analytics, AI, and hardware
How would you feel if you saw demand for your favorite topic — which also…
Superconductive scores $21M Series A funding to sustain growth of its Great Expectations open source framework for data quality
Ensuring data quality is essential for analytics, data science and machine learning. Superconductive’s Great Expectations…
It’s all about the data: Explorium’s bet pays off in $75M Series C funding
Data science and machine learning are being commoditized, so it’s the datasets that make the…
OtterTune sets out to auto tune all the databases
Tuning databases is key to application performance and stability, but it’s a hard job. Auto-tuning…
Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
A sui generis, multi-model open source database, designed from the ground up to be distributed.…
Graph Therapy. The Year of the Graph Newsletter Vol. 20, June / May 2020
Parts of the world are still in lockdown, while others are returning to some semblance…
Knowledge Graphs power scientific research and business use cases. The Year of the Graph Newsletter Vol. 19, April / March 2020
Is there life after COVID-19? Of course there is, even though it may be quite…
Graph analytics and knowledge graphs facilitate scientific research for COVID-19
State of the art in analytics and AI can help address some of the most…
Business intelligence, meet graph. Neo4j introduces BI connector for data discovery tools
Mixing graph and relational data is now even more accessible. What does this mean for…
Graph analytics for the people: No code data migration, visual querying, and free COVID-19 analytics by TigerGraph
Graph databases and analytics are getting ever more accessible and relevant As we’ve been keeping…
Innovation
Streamlining data science with open source: Data version control and continuous machine learning
Can an open source-based workflow leveraging version control and continuous integration and deployment help streamline…
Off-chain reporting: Toward a new general purpose secure compute framework by Chainlink
The upgrade in Chainlink’s oracle service could mean more data availability at lower cost, leading…
AI chips in the real world: Interoperability, constraints, cost, energy efficiency, and models
The answer to the question of how to make the best of AI hardware may…
.webp "2021 technology trend review, part one: Blockchain, cloud, open source")
2021 technology trend review, part one: Blockchain, cloud, open source
Blockchain’s DeFi-ning moment. Cloud, Kubernetes, and GraphQL. Open source is winning, open source creators are…
Meet Stargate, DataStax’s GraphQL for databases. First stop – Cassandra
A flexible API is key to database accessibility and developer friendliness today. Cassandra was lacking…
Getting there: Structured data, semantics, robotics, and the future of AI
Leveraging structure in data is key to making progress in AI, says AI prodigy Gary…
Other Topics
Quantum Orchestration Platform: A virtual machine for quantum computing
Startup Quantum Machines unveils what could be a key to accelerating quantum computing adoption, already…
5 technology trends for the roaring 20s, part 1: Blockchain, cloud, open source
Data is changing the paradigm in everything from business to social interactions. Here is what…
Logz.io moves toward application observability in the cloud, raises questions on open source
Logz.io unveils its cloud offering for infrastructure monitoring based on open source platforms Elastic and…
Graph for the mass market: Neo4j launches Aura on Google Cloud
Neo4j just launched its cloud offering, which it says will make graph mainstream. We discuss…
Why autonomous vehicles will rely on edge computing and not the cloud
When driving a vehicle, milliseconds matter. Autonomous vehicles are no different, even though it may…
Redis Labs goes Google Cloud, Graph, and other interesting places
Redis becomes available on Google Cloud Platform today, and we take the opportunity to explore…