#data-challenges

[ follow ]

The new era of digital is outcome-focused and geo-powered

Businesses are reassessing advertising methods to embrace innovative, outcome-focused strategies as they near the end of the year.

Instead of killing jobs, there's a strange AI hiring boom happening, according to Marc Andreessen

Generative AI is creating a job boom, not eliminating jobs, as companies hire educated workers to aid in AI model development.

How Multi-Site Risk Assessments Can Guide Your Security Investments Portland Maine to Portland Oregon

Multi-site risk assessments enable effective and cost-efficient security resource allocation by pinpointing vulnerabilities.

Federal data at risk

Federal statistical agencies are facing significant challenges and risks in accurately measuring national progress and responding to evolving information needs.

Technology Investment Set to Surge in UK -Lotame/Cint Report Reveals

Data collaboration platforms provide essential solutions to the prevalent data challenges faced by marketers and agencies, emphasizing the need for better data orchestration.
#data-quality

Interview: Nvidia on AI workloads and their impacts on data storage | Computer Weekly

Understanding the quality and relevance of data is crucial for successful AI projects.

Data Product vs. Data as a Product (DaaP): Understanding the Difference - DATAVERSITY

Data quality remains a complex challenge for organizations, with over half experiencing difficulties in data preparation.
Companies are adopting data products and DaaP to improve data quality, each having unique implications for implementation.

Interview: Nvidia on AI workloads and their impacts on data storage | Computer Weekly

Understanding the quality and relevance of data is crucial for successful AI projects.

Data Product vs. Data as a Product (DaaP): Understanding the Difference - DATAVERSITY

Data quality remains a complex challenge for organizations, with over half experiencing difficulties in data preparation.
Companies are adopting data products and DaaP to improve data quality, each having unique implications for implementation.
moredata-quality

Going digital to go green

Sustainability is now a priority for channel companies, requiring collaboration and better data to tackle challenges effectively.

Sigma is building a suite of collaborative data analytics tools | TechCrunch

Sigma Computing co-founders addressed data challenges by creating a platform for data visualization and analytics.

Bioptimus raises $35 million seed round to develop AI foundational model focused on biology | TechCrunch

New AI startup Bioptimus focuses exclusively on applying AI to biology.
Bioptimus faces data challenges due to sensitive clinical data and will be a capital-intensive startup.

Enterprise Analytics Online - Free Conference - DATAVERSITY

EAO offers strategies and insights on overcoming data challenges through analytics.
The event features industry-leading professionals and offers webinar-style sessions, live Q&A, and access to recorded materials.
[ Load more ]