PixelML: AI-Driven Content Supply Chain Solutions. ChatGPT is an excellent tool for one-time prompting. It can do the work in a single flow if you give it a single, concise command. It’s not possible for humans to achieve that, which is fortunate for a few reasons. Human process is not linear; for example, a marketer would choose keywords, brainstorm, and then write.
Agentic workflow AI
This is far more time-consuming, but the iterative process yields coherence and relevancy that LLMs find difficult to duplicate (the reason this post isn’t AI-powered is because the subject matter’s intricacies are too subtle to be captured by an AI tool). It was just a matter of time before AI pioneers like Intel Liftoff member PixelML found solutions for this well-known issue.
A little detour to unpack agentic Workflows back on earth (or silicon) is in order before they reach the destination.
What are agentic workflows?
A system or procedure known as a “agentic workflows” is one in which a human or an automated agent (such as software or artificial intelligence) uses deliberate, independent actions to accomplish tasks. The word “agentic” derives from the word “agency,” which denotes the capacity for autonomous decision-making and action-taking.
The human process Intel previously described is mirrored by agentic Workflows, but for LLMs. They enable an LLM to do tasks similar to those of a (human) agent, such as creating an output, considering it, and then honing and adjusting it before presenting it to the user. All of this takes place inside, when the model is thinking.
Everything is transformed by this, including code, text, graphics, and videos. Additionally, PixelML’s clients are already coming up with creative uses for the platform’s pre-made workflows and no-code workflow builder. Lead contact enrichment is one of the most widely used agentic AI procedures.
The company could have this person’s email address, but they lack the other details required to completely customize their approach. An AI model locates their LinkedIn, scrapes it, and generates a brief synopsis using an agentic workflows. Afterwards, this may be used to create highly customized messages and raise the likelihood of interaction.
Agentic Workflow
Content Creation in Regulated Sectors: An Essential PixelML Use Case
Producing content presents particularly difficult obstacles for marketers in regulated businesses. Pharmaceutical and medical goods companies must follow strict regulations. Companies must ensure their marketing and advertising information is truthful and legal.
These businesses may use PixelML to centralize all pertinent rules in the same location as their content production. This reduces the possibility that they will have to start over and redo material because of an issue they find at the end of the chain.
Using Intel Technology to Build the Content Supply Chain of the Future
They believes that as AI models become more widely available and less expensive, decreasing the entry barriers, agentic Workflows will become more commonplace. Additionally, to thinks that creating agentic flows may turn into a specialized job. Alternatively, it may become a specialized activity handled by a new kind of AI agency, much to how businesses use SAP.
Utilizing the most of the computational resources and compute engineering help they have been given under the Intel Liftoff initiative, PixelML is leading the way in AI innovation in this field.
Intel Liftoff
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FAQs
What is PixelML?
PixelML is a specializes in AI-driven content supply chain solutions. They provide a platform with agentic processes that are already built and can be customized, improving LLM capabilities. Businesses may automate and simplify content development processes thanks to their technology.
How does PixelML utilize agentic workflows?
Agentic workflows are used by PixelML to enhance content creation in a number of ways. For instance, in lead contact enrichment, their AI model can locate a person’s LinkedIn page using their email address, gather pertinent data from it, and condense it for individualized outreach that increases engagement rates.
How does Intel Liftoff support PixelML?
PixelML makes use of the Intel Liftoff program’s resources and assistance, gaining access to cutting-edge technology such as the Intel Gaudi 2 AI accelerator and frequent discussions with Intel experts. PixelML will be able to realize its goal and develop its technology thanks to this partnership.
