@BaptisteVicini Classic ETL is dead. While Scale AI leads in human-labeled visual data, KGNN takes a different path: fully automated semantic labeling for unstructured text.
KGNN vs Scale AI → https://t.co/kqvz5fdKSf
@amir While Scale AI leads in human-labeled visual data, KGNN takes a different path: fully automated semantic labeling for unstructured text.
KGNN vs Scale AI → https://t.co/kqvz5fdKSf
@decruz@ruima right... while Scale AI leads in human-labeled visual data, KGNN takes a different path: fully automated semantic labeling for unstructured text.
KGNN vs Scale AI → https://t.co/kqvz5feiHN
@nathanbenaich While Meta moves on Scale AI, some startups are taking a different route.
💡 KGNN offers a fully automated, no human-in-the-loop approach to data labeling, AI-ready, scalable, and still at a smart entry point for investors.
👉 https://t.co/kqvz5fdKSf
#AI#KGNN#ScaleAI#LLM
@ns123abc 💡Have a look at our alternative: KGNN, fully automated, no human-in-the-loop, built for scale and affordability.
https://t.co/kqvz5fdKSf
#AI#DataLabeling#KGNN#ScaleAI#LLM
@opinion@DaveLeeBBG Big move by Meta. While Scale AI leads in human-labeled visual data, KGNN takes a different path: fully automated semantic labeling for unstructured text.
KGNN vs Scale AI → https://t.co/kqvz5fdKSf
#AI#DataLabeling#KGNN#ScaleAI#LLM
@BaptisteVicini Alexandr Wang nailed the data bottleneck for visual AI. At Equitus, we took another route, automating semantic labeling for unstructured text, on-prem and at scale.
📊 KGNN vs Scale AI: 👉 https://t.co/kqvz5fdKSf
#AI#DataLabeling#RAG#LLM#KnowledgeGraph
@JensHonack Impressive growth from Scale AI, tackling visual data with human-in-the-loop labeling. At Equitus AI, we take a different path: automated semantic labeling for unstructured text.
📊 KGNN vs Scale AI:
👉 https://t.co/kqvz5feiHN
#AI#DataLabeling#RAG#LLM#KnowledgeGraph
𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗩𝗶𝗱𝗲𝗼 𝗗𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗔𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: 𝗘𝗾𝘂𝗶𝘁𝘂𝘀 𝗩𝗶𝗱𝗲𝗼 𝗦𝗲𝗻𝘁𝗶𝗻𝗲𝗹 (𝗘𝗩𝗦) 🎥 In your current surveillance network, the real challenge isn’t just capturing video.
🚀 Join us at IBM 𝗧𝗲𝗰𝗵𝗫𝗰𝗵𝗮𝗻𝗴𝗲! We are excited to contribute to the conference and demonstrate why Equitus is a trusted partner in driving digital transformation.
Equitus is reshaping the way we Integrate Data. Unlike conventional ETL, KGNN (Knowledge Graph Neural Network) minimizes the need for complex data pipelines and opens the door to Faster, more Efficient Data Workflows.
"𝗧𝗵𝗲 𝗹𝗶𝗺𝗶𝘁𝘀 𝗼𝗳 𝗺𝘆 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗹𝗶𝗺𝗶𝘁𝘀 𝗼𝗳 𝗺𝘆 𝘄𝗼𝗿𝗹𝗱." * If your system can't Define it, Explain it, Correlate it, and put it into Context, does it really exist? Or maybe the Data is here but it's just noise.
Data is king, and Data is everywhere—on-premises, in the cloud, and at the edge. A whopping 87% of organizations expect their applications to be spread across even more locations in the next two years, according to a 2023 study by Enterprise Strategy Group.
The Smooth Talker vs. The Deep Thinker LLMs excel at generating human-like text, making them the smooth talkers of the AI world. But when it comes to deep, logical reasoning, Knowledge Graphs are the real experts, connecting information with precision.
Verticalized AI models are crucial for enterprise adoption, as generic models often fall short in meeting sector-specific needs. Adapting AI to industry-specific challenges leads to more relevant and effective solutions.
Are you Connecting the Dots or Drawing Pink Unicorns? 🦄
Connecting the dots the wrong way can lead to seeing things that aren’t really there...
When biases or incomplete data guide your analysis, you might end up with conclusions that are more fantasy than fact.
94% of IT leaders have spearheaded a #cloud repatriation project in the past three years.
🔒 Key drivers for repatriation:
🛡️ Unexpected security issues (41%)
💸 Higher-than-expected costs (29%)
⚡ Performance issues
🔄 Compatibility problems
#Technology#Innovation#AI