AI Strategy stories
Cisco says AI adoption needs cultural change, skills investment and human oversight as companies reshape work, learning and internal tools.
Enterprises are increasingly judging CX vendors on AI governance, cloud infrastructure and pricing transparency rather than contact centre features alone.
The release aims to ease a key hurdle for firms moving AI agents into production by unifying memory, retrieval and access across environments.
The new unit gives robotics a direct line to Chief Executive Officer Lyu Jae-cheol as LG tries to speed up product development.
The move targets firms struggling to shift AI pilots into live systems, with AWS embedding engineers to speed deployment and cut reliance on consultants.
Growing enterprise demand has prompted V2 AI to add senior leadership as it tackles rising AI spending across Australia and Asia-Pacific.
Poor-quality data can derail AI projects, leaving businesses with biased predictions, weak insights and higher compliance risk.
Investor backing for NFON's AI push came as the Munich software group lifted revenue to EUR 89.1 million and boosted margins.
The recognition boosts its credibility with banks and energy clients, as regulated industries demand AI tools that can be explained, controlled and audited.
AWS CEO Matt Garman says enterprise AI is moving into production as more organisations report measurable returns on investment.
Its founders say the consultancy has avoided redundancies and kept growth lean, even as demand for AI transformation rises across the region.
Many firms are failing to turn AI spending into returns, as Quanton opens in Australia to help clients scale deployments and change management.
Enterprise users can cut costs and errors by matching AI to the task, as foundation models still struggle with repeatable workflows.
AI pilots stall less on model quality than on messy data, disconnected tools and weak governance, Snowflake Summit heard.
Poor data quality is holding back AI projects at UK professional services firms, with 34% of senior leaders calling it the main barrier.
Clients seeking fewer vendors may now get workforce, technology and risk support from one provider as AI deployments scale beyond pilots.
The appointments underline a push to turn in-house AI trials into customer services, with governance and reliability now central to growth.
IBM research shows Canadian organisations are expanding AI use while governance, workforce skills and oversight struggle to keep pace.
Enterprises across Asia may move faster from AI pilots to production, as the deal targets scalable deployment in ASEAN, Japan and South Korea.
Businesses face growing pressure to keep AI data and costs in-house, as CTI Digital tests a private platform for employees in Manchester.
