Equitus AI (@equituscorp) 's Twitter Profile
Equitus AI

@equituscorp

AI Driven Knowledge Graph Neural Network
Equitus Delivers AI Technologies at Enterprise Scale

ID: 378700406

linkhttp://www.equitus.ai calendar_today23-09-2011 17:14:34

358 Tweet

82 Followers

92 Following

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PART 4๐Ÿง  A semantic knowledge graph is the best approach to enhance data understanding and interpretation by not only representing data points (nodes) and their relationships (edges) but also integrating their meaning and context through ontologies and metadata. #AI #Semantics

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Rapid #AI advancements have led to severe #GPU shortages and inflated prices.๐Ÿ“‰ Power supply is the next major challenge as data center consumption soars, highlighting the need for sustainable AI development. Equitus AI, the Backbone of Intelligent Data. #GPUShortage

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Large Language Models (LLMs) often struggle with maintaining context, handling ambiguous queries, and avoiding hallucinations. ๐Ÿค–๐Ÿ’ฌ #KnowledgeGraphs come to the rescue by structuring information to enhance the contextual understanding and accuracy of #LLMs.

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Know your #KnowledgeGraph: simply reorganizing text data (like words and sentences) into graphs doesn't capture the true meaning or concepts behind the #data โŒ. True knowledge graphs should represent unique concepts and their relationshipsโœ…, not just clusters of words. #AI

Know your #KnowledgeGraph: simply reorganizing text data (like words and sentences) into graphs doesn't capture the true meaning or concepts behind the #data โŒ. True knowledge graphs should represent unique concepts and their relationshipsโœ…, not just clusters of words. 
#AI
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๐Ÿ”’ Secure, Compliant, High-Performance: On-Premise Knowledge Graphs Advanced knowledge graphs are now essential for enterprises. KGNN technology is the backbone of intelligent data. It offers security, compliance, and cost-efficiency. #OnPremise #KnowledgeGraph #DataSecurity

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๐Ÿ“–AI inference at the edge delivers ultra-fast, real-time applications with reduced latency, enhanced data security, and cost efficiency. Great article explaining how AI inference at the edge works and benefits various industries. shorturl.at/lksXi

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OpenAI will potentially run out of cash within 12 months unless they secure additional VC funding ๐Ÿ˜ณ. The world's most valuable AI startup reportedly burned through $4 billion this year on cloud costs alone and could spend another $3 billion+ on model training. #AIWars #OpenAI

OpenAI will potentially run out of cash within 12 months unless they secure additional VC funding ๐Ÿ˜ณ. The world's most valuable AI startup reportedly burned through $4 billion this year on cloud costs alone and could spend another $3 billion+ on model training. 
#AIWars #OpenAI
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๐Ÿ–ฅ๏ธ Augment and Enhance Your Existing Systems On-Premise with the most advanced #KnowledgeGraph Neural Network (KGNN). Automatically connect, cleanse, transform, prepare, and enrich unstructured data for data science, analytics, and AI projects. #DataManagement #AI

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94% of IT leaders have spearheaded a #cloud repatriation project in the past three years. ๐Ÿ”’ Key drivers for repatriation: ๐Ÿ›ก๏ธ Unexpected security issues (41%) ๐Ÿ’ธ Higher-than-expected costs (29%) โšก Performance issues ๐Ÿ”„ Compatibility problems #Technology #Innovation #AI

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Are you Connecting the Dots or Drawing Pink Unicorns? ๐Ÿฆ„ Connecting the dots the wrong way can lead to seeing things that arenโ€™t really there... When biases or incomplete data guide your analysis, you might end up with conclusions that are more fantasy than fact.

Are you Connecting the Dots or Drawing Pink Unicorns? ๐Ÿฆ„
Connecting the dots the wrong way can lead to seeing things that arenโ€™t really there...

When biases or incomplete data guide your analysis, you might end up with conclusions that are more fantasy than fact.
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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.

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.
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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.

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Data is king, and Data is everywhereโ€”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.

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๐—ž๐—ป๐—ผ๐˜„๐—น๐—ฒ๐—ฑ๐—ด๐—ฒ ๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต๐˜€ ๐—ข๐—ณ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฎ๐—น๐—น๐˜† ๐—ฅ๐—ฒ๐—ฐ๐—ผ๐—ด๐—ป๐—ถ๐˜‡๐—ฒ๐—ฑ ๐—ฎ๐˜€ ๐—ฎ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ณ๐˜‚๐—น ๐—ง๐—ผ๐—ผ๐—น ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—š๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ข๐—ฏ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜†. Prioritizing data quality and governance is essential as demands grow.

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"๐—ง๐—ต๐—ฒ ๐—น๐—ถ๐—บ๐—ถ๐˜๐˜€ ๐—ผ๐—ณ ๐—บ๐˜† ๐—น๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐—ฎ๐—ฟ๐—ฒ ๐˜๐—ต๐—ฒ ๐—น๐—ถ๐—บ๐—ถ๐˜๐˜€ ๐—ผ๐—ณ ๐—บ๐˜† ๐˜„๐—ผ๐—ฟ๐—น๐—ฑ." * 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.

"๐—ง๐—ต๐—ฒ ๐—น๐—ถ๐—บ๐—ถ๐˜๐˜€ ๐—ผ๐—ณ ๐—บ๐˜† ๐—น๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐—ฎ๐—ฟ๐—ฒ ๐˜๐—ต๐—ฒ ๐—น๐—ถ๐—บ๐—ถ๐˜๐˜€ ๐—ผ๐—ณ ๐—บ๐˜† ๐˜„๐—ผ๐—ฟ๐—น๐—ฑ." * 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.
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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.

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๐Ÿš€ Join us at IBM ๐—ง๐—ฒ๐—ฐ๐—ต๐—ซ๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ฒ! We are excited to contribute to the conference and demonstrate why Equitus is a trusted partner in driving digital transformation.

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๐—ง๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ถ๐—ป๐—ด ๐—ฉ๐—ถ๐—ฑ๐—ฒ๐—ผ ๐——๐—ฎ๐˜๐—ฎ ๐—ถ๐—ป๐˜๐—ผ ๐—”๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ: ๐—˜๐—พ๐˜‚๐—ถ๐˜๐˜‚๐˜€ ๐—ฉ๐—ถ๐—ฑ๐—ฒ๐—ผ ๐—ฆ๐—ฒ๐—ป๐˜๐—ถ๐—ป๐—ฒ๐—น (๐—˜๐—ฉ๐—ฆ) ๐ŸŽฅ In your current surveillance network,ย the real challenge isnโ€™t just capturing video.

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๐Ÿฒ๐Ÿณ% ๐—ผ๐—ณ ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—”๐—œ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐—–๐—ฟ๐—ฎ๐˜€๐—ต. ๐—ง๐—ต๐—ฒ ๐—ฏ๐—ฟ๐˜‚๐˜๐—ฎ๐—น ๐˜๐—ฟ๐˜‚๐˜๐—ต? AI isnโ€™t failing because of algorithms. Itโ€™s drowning in ๐—ฏ๐—ฟ๐—ผ๐—ธ๐—ฒ๐—ป ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ณ๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€. ๐—”๐—œ ๐—ถ๐˜€ ๐—ผ๐—ป๐—น๐˜† ๐—ฎ๐˜€ ๐—ด๐—ผ๐—ผ๐—ฑ ๐—ฎ๐˜€ ๐˜๐—ต๐—ฒ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ถ๐˜ ๐—ฟ๐˜‚๐—ป๐˜€ ๐—ผ๐—ป.

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๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—š๐—ฒ๐—ป๐—”๐—œ ๐—ผ๐—ป ๐—œ๐—•๐—  ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐˜„๐—ถ๐˜๐—ต ๐—ฒ๐˜…๐—ฝ๐—น๐—ฎ๐—ถ๐—ป๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜†, ๐˜๐—ฟ๐—ฎ๐—ฐ๐—ฒ๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜†, ๐—ฎ๐—ป๐—ฑ ๐˜€๐—ฝ๐—ฒ๐—ฒ๐—ฑ. ๐—๐—ผ๐—ถ๐—ป ๐˜‚๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ฎ๐—ป ๐—ฒ๐˜…๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ฑ๐—ฒ๐—ฒ๐—ฝ ๐—ฑ๐—ถ๐˜ƒ๐—ฒ ๐—ถ๐—ป๐˜๐—ผ ๐˜๐—ต๐—ฒ ๐—ณ๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ of AI. ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ: ibm.co/43vdKZx

๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—š๐—ฒ๐—ป๐—”๐—œ ๐—ผ๐—ป ๐—œ๐—•๐—  ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐˜„๐—ถ๐˜๐—ต ๐—ฒ๐˜…๐—ฝ๐—น๐—ฎ๐—ถ๐—ป๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜†, ๐˜๐—ฟ๐—ฎ๐—ฐ๐—ฒ๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜†, ๐—ฎ๐—ป๐—ฑ ๐˜€๐—ฝ๐—ฒ๐—ฒ๐—ฑ. ๐—๐—ผ๐—ถ๐—ป ๐˜‚๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ฎ๐—ป ๐—ฒ๐˜…๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ฑ๐—ฒ๐—ฒ๐—ฝ ๐—ฑ๐—ถ๐˜ƒ๐—ฒ ๐—ถ๐—ป๐˜๐—ผ ๐˜๐—ต๐—ฒ ๐—ณ๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ of AI. ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ: ibm.co/43vdKZx