𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗚𝗲𝗻𝗔𝗜 𝗼𝗻 𝗜𝗕𝗠 𝗣𝗼𝘄𝗲𝗿 𝘄𝗶𝘁𝗵 𝗲𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝘁𝗿𝗮𝗰𝗲𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝗻𝗱 𝘀𝗽𝗲𝗲𝗱. 𝗝𝗼𝗶𝗻 𝘂𝘀 𝗳𝗼𝗿 𝗮𝗻 𝗲𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗱𝗲𝗲𝗽 𝗱𝗶𝘃𝗲 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 of AI. 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿: ibm.co/43vdKZx

𝟲𝟳% 𝗼𝗳 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗖𝗿𝗮𝘀𝗵. 𝗧𝗵𝗲 𝗯𝗿𝘂𝘁𝗮𝗹 𝘁𝗿𝘂𝘁𝗵? AI isn’t failing because of algorithms. It’s drowning in 𝗯𝗿𝗼𝗸𝗲𝗻 𝗱𝗮𝘁𝗮 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀. 𝗔𝗜 𝗶𝘀 𝗼𝗻𝗹𝘆 𝗮𝘀 𝗴𝗼𝗼𝗱 𝗮𝘀 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗶𝘁 𝗿𝘂𝗻𝘀 𝗼𝗻.

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.

𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗚𝗿𝗮𝗽𝗵𝘀 𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘇𝗲𝗱 𝗮𝘀 𝗮 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗧𝗼𝗼𝗹 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆. Prioritizing data quality and governance is essential as demands grow.

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

🖥️ 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

OpenAI will potentially run out of cash within 12 months unless they secure additional VC funding 😳. 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

📖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

🔒 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

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

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

Rapid #AI advancements have led to severe #GPU shortages and inflated prices.📉 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

PART 4🧠 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