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AI governance gap: 95% of firms haven’t implemented frameworks

AI News

Data integrity and security emerged as the biggest deterrents to implementing new AI solutions. Executives also reported encountering various AI performance issues, including: Data quality issues (e.g., Additionally, 65% expressed concern about IP infringement and data security.

Big Data 246
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5 Challenges of AI in Healthcare

Unite.AI

Artificial intelligence (AI) integration in healthcare has begun, unlocking many use cases for healthcare providers and patients. The AI healthcare software and hardware market is expected to surpass $34 billion by 2025 globally. Additionally, biases in training data could result in unequal treatment suggestions or misdiagnosis.

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A Practical Guide to Making the Most of Your Investment in AI

Unite.AI

When integrated successfully, AI technology can have massive ROI, leading to better sales, more satisfied customers, and streamlined operations that save thousands of dollars each year. With all of this in mind, it’s no surprise that investment in AI is projected to top $200 billion by 2025.

AI 269
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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Journey to AI blog

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

AI 247
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VectorSearch: A Comprehensive Solution to Document Retrieval Challenges with Hybrid Indexing, Multi-Vector Search, and Optimized Query Performance

Marktechpost

The widespread adoption of smart devices and social platforms has further contributed to this surge in data, with estimates suggesting that unstructured data could constitute 80% of the total data volume by 2025. This restricts their adaptability to real-world scenarios where data is constantly changing.

BERT 110
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Is Cloud Computing the Backbone of Data Science

Aiiot Talk

Data analysts also require significant computational power. This enables data scientists to run complex algorithms without owning powerful machinery. Additionally, many data science tools and software platforms are now cloud-based. Global data volumes may exceed 180 zettabytes by 2025.”

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DBMS Architecture: A Deep Dive into Database Management Systems

Pickl AI

These include the database engine for executing queries, the query processor for interpreting SQL commands, the storage manager for handling physical data storage, and the transaction manager for ensuring data integrity through ACID properties. Data Independence: Changes in database structure do not affect application programs.