Myth #1: Leading software vendors use best practices and care about you.
Myth #2: The AI we have is the AI we need.
Myth #3: Packaged agent orchestration is something new and essential.
Myth #4: Companies can keep their old architectures in the AI era.
More at: graphrag.info/2026/02/27/t...
A core problem: AI interprets and synthesizes across files faster than static controls can govern it, exposing untested gaps in enterprise safeguards.
The current RDF stack isn’t static or periodic. Semantic graph anticipate agent probs.
More from the Curator at graphrag.info/2026/02/23/o...
I'll be presenting on decentralized AI trends today at 2pm Pacific/5pm Eastern at BrightTALK's virtual Edge AI Summit. It will be a contrarian point of view on hybrid AI's accuracy at the edge. Register now at www.brighttalk.com/webcast/679/...
The contrarian, neuro-symbolic AI approach grounds neural nets with symbolic AI or knowledge representation.That’s a blending of pattern recognition facility with desiloing, disambiguation and reasoning at scale.
More on the contrarian AI in my latest post at lnkd.in/gStNh5JR
Tietoevry, Cognizone, Semantic Partners, Enterprise Knowledge, LLC, EPAM Systems, and Zenia Graph have built intelligent apps with Talk to Your Graph. TTYG today (Wednesday) at the Graphwise webinar. Live session begins on the half hour. Register here: lnkd.in/dPs98cYd
Neurosymbolic (NeSy) knowledge graph-based systems take advantage of the power of LLMs by using them as capable front-end chatbots, but they add the ability to use internal business data that simply can’t contain massive numbers of examples.
graphrag.info/2025/10/31/w...
Tietoevry, Cognizone, Semantic Partners, Enterprise Knowledge, EPAM Systems, and Zenia Graph have built intelligent applications using Graphwise's TTYG (Talk To Your Graph) feature.
See how smart apps take advantage of TTYG on Wednesday at the Graphwise webinar. Register here: lnkd.in/dPs98cYd
Solar generated 39% of California's electricity from January-July 2025, up from 33% in 2024. Fossil fuels plunged to just 26% of CA's power in Jan-July 2025, down 40% in July 2025, compared to July 2024. Wow! Batteries tripled to 14,000 MW since 2022!
Ernst & Young (EY) couldn’t take on a firmwide, full-blown knowledge graph project and succeed in building such a graph without sufficient data maturity and culture.
In that sense, the KM organization made the adoption of knowledge graph-based AI possible.
graphrag.info/2025/08/25/g...
...for one automation scheme at a time.
But it makes sense from a software subscription and access control point of view, given the way enterprise apps have been configured and secured. If what you're doing is tapping into Salesforce, Workday, ServiceNow, etc....
Curious to know your thoughts.
So now with Common KG, MCP and agents, users should theoretically be able to do data-layer integration and delegate tasks to agents. But in some ways, it's still user-to-user and point-to-point, because the user associates a selection of data sources to integrate one by one...
My question then was, why do this at the application layer when the real work needs to be done at the data/knowledge layer in a graph?
...you could record a macro of sorts to automate the whole sequence.
Lots of enterprises tried to use RPA during the 2010s, and several startups such as UI Path were known for it. But my impression was that RPA generally was quite finicky, brittle and difficult to get to work....
RPA is a point-to-point means of application-layer process integration for end user task sequence automation. The theory was, if you were doing a repetitive process (such as a data entry process) that involved jumping into one enterprise app, then another, then another....
My initial take on Common KG and Dataverse agentic AI is that is a successor technology to what Microsoft tried to do with what we used to call Robotic Process Automation (RPA). Microsoft orginally called their RPA product Flow, then changed the name to Power Automate.
The video is illuminating--worth watching to see how the approach is designed to fit into existing workflows.
I'm doing more research on how the current MSFT approach fits into overall knowledge graph/Graph RAG implementation space.
"Customers including CSX, ESET, and Encino Energy are using enterprise Knowledge to build (or have plans to build) agents with Copilot Studio to improve business processes. "
More (including a video and recorded demo) at:
lnkd.in/gp6yZzuC
"Pattern 2: Indexes metadata to query. Examples include Azure SQL, ServiceNow, Salesforce, Zendesk, SharePoint List, Snowflake, Databricks, SAP (Hana), and Oracle.
Pattern 3: Read operations on Power Platform connectors. Examples include Azure AI Search and 1.4K+ Power Platform connectors.... "
so makers spend less time on indexing and integration to focus on building agents.
Pattern 1: Ingests data to create vector embeddings. Examples include Files, OneDrive, Dataverse, Salesforce & ServiceNow (unstructured data), Confluence, and Dynamics 365 (F&O v-tables) ...."
"Now it’s easier than ever to unify and operationalize knowledge across your agent ecosystem. The Common Knowledge Graph in Copilot Studio connects your agent to your enterprise systems with new enhanced connectors and simplifies RAG...."
Interested in peoples' thoughts on the Microsoft Common Knowledge Graph and the related Dataverse agent-based automation strategy. Following in this thread is the MSFT summary:
What's unfair about charging 20% more for ind. cost reimbursement is that the star principal investigators who win the Federal grants--get a 20% smaller piece of the pie for actual research as a result. Which is why PIs like John Madey fought against univ. administrations.https://shorturl.at/iBPVH
Agree, but here's the nuance that Polk Award winners like Jeff Gottlieb get that most reporters don't. Big research universities always overcharge for research.
Overreimbursement of indirect costs has been a cash cow for them.
Political theater won't fix that (or any) problem. shorturl.at/AigPB
a breakdown of global electricity demand by major economies., China leads at almost one third of the worlds electricity demand with the US a distant second at 14%.
I like graphics this that quickly inform me on a topic where I'd be helpless to estimate the answers but now I know.
Background on my Brighttalk tomorrow at 10am Pacific on a better way to think about agentic AI and enterprise transformation, with a knowledge graph foundation that alleviates many issues with agents and LLMs.
www.linkedin.com/posts/alanmo...
is it my imagination or is it just a lot of podcasters interviewing other podcasters now?
I like how Raymond Chandler began work on a novel: Start with a scene, a setting, sharp dialogue, a form of tension worth exploring, and an understanding of some elemental truths and rules of thumb.
More from my Quora answer to www.quora.com/Is-it-better...
More at www.realtor.com/news/trends/...
KY could suffer most among auto mfg. states. "'A trade war...will disproportionately affect the labor markets of states that are more integrated globally,' says Realtor.com® senior economist Joel Berner. 'These high-reliance states are more likely to see demand and home prices soften ...."
Per BLS occupation stats for coal mining employment as of 1/25 at data.bls.gov/timeseries/C... is just above 40,000.
Arby's employed 80,000+ in 2019, per CNBC. 3,400 restaurants then, up to 3,600 now.
Arby's employees earn on avg $12.60/hour.
Coal mining wages tend to be above $30/hour.
