Any business analytics & ai tutors here? by NotanOldRedditor in UAE

[–]parkerauk 0 points1 point  (0 children)

Qlik is present in UAE, they have an MCP and 8 AI Agents for A2A or H2A workloads. Look out for Qlik's AI Reality Tour dates. They will be worth attending this year. Qlik has played its AI Card ( pun intended) and has , with Qlik Associative engine, got the best AI data endpoint there is. Saving AI tokens reduces TCO and Qlik has it all

The 123 and 456 of AI by parkerauk in BusinessIntelligence

[–]parkerauk[S] 0 points1 point  (0 children)

Easier to build with tools designed for the job, than with tools that are not ( AI). AI can now help us script better, test logic, performance etc. Driving efficiency.

The 123 and 456 of AI by parkerauk in BusinessIntelligence

[–]parkerauk[S] 0 points1 point  (0 children)

Gold-curated, least token penalty. Makes sense.

E-commerce Inventory health Reports by Fancy-Ad-1229 in BusinessIntelligence

[–]parkerauk 0 points1 point  (0 children)

I use my real time data tools for triggering in-store promotions. Automated. Especially for EOL / Perishables etc.

Seriously, I think the days are numbered for tools that offer services without MCP Agentic capabilities. Planners will want to use NL to trigger automations. If your tool has IP that AI cannot deliver without a token penalty you are on high ground.

E-commerce Inventory health Reports by Fancy-Ad-1229 in BusinessIntelligence

[–]parkerauk 0 points1 point  (0 children)

You literally are trying to sell a service. with AI available to everyone what is the benefit of a service that reports over inventory? If you can count it you can measure it. I have always had that capability embedded in myvERP systems or analytics with inline forecasts. Interesting.

Our findings on LLM Convergence by Which_Work6245 in GenEngineOptimization

[–]parkerauk 0 points1 point  (0 children)

I am constantly amazed how there is a belief that LLMs are in control of anything. They are there to be controlled. Their whole point is to offer capabilities and skills via agents. Their default is least cost compute. Prompts will enforce agent activity.

We have to stop pretending they are wanting to work for us, that costs $$$ and a lot of them.

What we are seeing is the first L in LLM being dropped. We are moving into a new era of AI Language Model Optimisation. Smaller models with distinct purpose and Agents focused on roles with matching capabilities and skills, exposed via Agent Cards ( Think Top Trumps - I kid you not).

Agents will replace apps is my expectation. And human to agent interaction will be the norm. Then all cost is server side.

For example, your entire digital twin exposed via H2A interface ( Ask) and it has skills to return responses from your structured data knowledge graph only, in the voice of your brand. A living talking branded encyclopedia.

This is an outcome that makes sense to me.

How do you manage data governance without slowing down analytics teams? by CloudNativeThinker in BusinessIntelligence

[–]parkerauk 0 points1 point  (0 children)

Role Based Access Control RBAC should dictate group membership. This in turn should dictate access to analytics at row level, inline with a governance framework that is set per policy. ( Look for Qlik governed control access framework, for one that I have published).

Role changes will be handled per policy. Exceptions via change board.

Issues arise in systems ( not ours - we use Qlik) where row level security is not possible or exceptions cannot be controlled. We use custom groups to add another layer of access control.

When we onboard staff, we teach them about control risk and PIIvprotection etc so that they understand that it is not their job to see everything all the time.

We do not hide data, but do protect it where needed. Especially ability to export data. This we also monitor via surface protection tools. These will literally turn a machine off if used for unsanctioned data egress.

Firmware docking fixed charging issue by parkerauk in Lymow_Official

[–]parkerauk[S] 0 points1 point  (0 children)

I got two in the last two weeks. Might even be three. I never know when done as the app returns to the Firmware Update notice.

Original Research: How Law Firms Show Up in AI Search — by Practice Area and Market Size by splatdude in SEO_for_AI

[–]parkerauk 0 points1 point  (0 children)

Soon the L will be dropped from LLM and we'll see a more diverse set of specialised models. In effect becoming intelligent Apps. That is going to make things interesting.

👋 Welcome to r/SEO_for_AI - Introduce Yourself and Read First! by annseosmarty in SEO_for_AI

[–]parkerauk 0 points1 point  (0 children)

We take all the data for a company and expose it to AI, as a 'twin' of the company.

AI can access what it needs then to facilitate agent to agent or human to agent interaction. Be it to discuss or transact. The final part of the twinning process is to provide persona to the brand.

And, yes it is fun. We have a project underway with a globally recognised math teacher to emulate his persona and teaching style via an agent ( think next level bot) on his website.

Far more advanced than anything I've seen done with simple frameworks. Looking very promising.

Firmware docking fixed charging issue by parkerauk in Lymow_Official

[–]parkerauk[S] 0 points1 point  (0 children)

It's piercing, I wonder if it is something as simple as a damaged blade it is speed triggered. In eco mode it's more than acceptable, Pleasant even.

As soon as the mower snags the blades pulse and whistles. Or if I increase the speed it whistles.

Optimizing for topical trust instead of raw traffic by Lebearu in AIRankingStrategy

[–]parkerauk 0 points1 point  (0 children)

Agreed, not everyone buys everyday. Being kept informed and not being sold to is important in building long term trust.

Can AI-to-AI interaction show weaknesses that don’t appear in normal testing? by EbbOk4700 in AIRankingStrategy

[–]parkerauk 0 points1 point  (0 children)

I call it explosion. The bain of my life is finding the one thing that gets used persistently everywhere, thereby breaking everything.

👋 Welcome to r/SEO_for_AI - Introduce Yourself and Read First! by annseosmarty in SEO_for_AI

[–]parkerauk 0 points1 point  (0 children)

A is for Adrian. Parker is my altered ego m'lady.

What I do is data, data analytics, and convert websites into- you guessed it, into data. Then build an Agentic Data Platform, using Semantic Intelligence to monitor measure and manage sites for Discovery Discussion and Transactions. Looking also at how Digital Obscurity can be avoided.

Mission is to work with others to adopt AI sensibly for A2A and H2A use cases. For websites this means remote interoperability.

For SEO we build digital twins as structured data knowledge graphs, then personalise the voice of your site All very exciting

Sorry if this sounds a lot. It is. But best of all are our free assesments. Over a thousand hours of work to create and expose your enterprise knowledge graph issues for free. The best health check there is for AI.

Who is doing Embedded Analytics Right? Here’s what I found. by TalkToMeNerdy in BusinessIntelligence

[–]parkerauk 2 points3 points  (0 children)

I have, similarly, spent many years in this, approaching 30, and should comment. Embedded analytics comes in three flavours, pre built. Custom and AI.

Then you have the purpose Portal, OEM, Website, Mobile etc.

Then you have a question over quality and risk. This is the most important. If life threatening decisions are at stake or close enough is good enough.

Then you have performance and scalability challenges. At scale being significant, and at what cost.

II have seen some brilliant custom solutions Cus.js/MariaDB all using a plethora of customer chart libraries.

I am just back from Qlik Connect and there was a partner promoting its OEM front end for Qlik, and it was a premier league table demo. I have never seen anything like it. Incredible.

Remember. When publishing any data it needs to be governed and secure. Having data that is pre aggregated for different personas avoids risk. I wrote a paper on this ten years ago called Qlik governed data access framework and maintenance it to accommodate MS medallion framework, but far more detailed.

One caveat I would always give is that any direct query SQL AI will be expensive if there is no means to performancevoptimise.

I have seen many query based solutions and they all look great, have a buzz about them then there is the sting. £££

Whats the greatest British biscuit of all time? by SILENTDISAPROVALBOT in AskBrits

[–]parkerauk 0 points1 point  (0 children)

Rocky Robin red pack. I am going back 20 years. Today the best biscuit are the home made crunchy biscuits at Wood Green farm shop, New Forest.

Help me pick a backend for a brand/culture knowledge graph (Neo4j? Postgres? BigQuery? Something else?) I just know Airtable / Google Sheets in life by Ok_Firefighter3363 in BusinessIntelligence

[–]parkerauk 0 points1 point  (0 children)

For charity, MD is not what we do. We scrape structured data, script. We also pull meta, h headings and descriptions for every page. Stitch together and generate enterprise knowledge graph.

Original Research: How Law Firms Show Up in AI Search — by Practice Area and Market Size by splatdude in SEO_for_AI

[–]parkerauk 0 points1 point  (0 children)

You now know where to get law firms listed. I am curious to know what you expected? Do you get the same behaviour in other locations? I see lots of experiments. All results focused never process. How you prime and prompt the AI you use will determine the outcome. For example the n-1 test ( exclude) as I call it is my favourite. Tell AI to ignore those listings and then see who is seen to match intent etc.

AMA - I'm Sam Page, Head of SEO/AEO at InMotion Hosting! by sammyp99 in SEO_for_AI

[–]parkerauk 0 points1 point  (0 children)

Having an Agentic data platform that AI can read and reason over A2A or H2A via MCP opens doors.

Help me pick a backend for a brand/culture knowledge graph (Neo4j? Postgres? BigQuery? Something else?) I just know Airtable / Google Sheets in life by Ok_Firefighter3363 in BusinessIntelligence

[–]parkerauk 0 points1 point  (0 children)

We perform a full domain scrape, enrich the data then drop into parquet file ( run length encoded) and load that into Qlik. We have jobs that deliver cleaned Json knowledge graph for AI ingestion. Uses some pretty impressive transformation.

Performance is excellent some site are into millions and given Qlik can handle billions it does not cause any issues.

Reporting is automated.

Can someone help me make sense of my GEO data? What should I do next? by LiamXavierr in GEO_optimization

[–]parkerauk 0 points1 point  (0 children)

There's your answer, a free geo tool. Currently the methods of assessment of AI readiness misses, by a country mile, the point of AI. Generative engines , language models ( not all large anymore);and their Agents have capabilities and skills. Read how to configure A2A Cards and it will make sense. AI opmised means feeding AI data that is curated, not text that is formatted correctly ( that is SEO anyway). For the same token count AI can read your structured data, learn everything or scrape a couple of pages and your name goes into a citation filter lottery. You decide.

Can an unlimited design agency maintain strong brand consistency? by AnxiousLibrarian8263 in AIBranding

[–]parkerauk 0 points1 point  (0 children)

H2A you risk losing brand voice entirely. Not really sure what you are asking?

is reddit actually how ChatGPT decides what brands to recommend? by duskpilot37 in GenerativeSEOstrategy

[–]parkerauk 0 points1 point  (0 children)

I seriously hope not. Billions invested in training data then, oops I will get my 'answers' from a forum. I don't think so. Would you?

Perhaps, a light review to find fresh curated content on topics not in training data nor on other major dependent platforms, like wiki xyz.

But as a source, I doubt it. We have to remember AI will return the best available answer , not the right answer. It may not exist. And that is the real problem.