EXECUTIVE INSIGHT
We know data fragmentation and complexity continue to be a real struggle for many organisations , regardless of geography or vertical . Our recent survey found that four in 10 data leaders struggle to balance 1,000 + data sources , and eight in 10 anticipate this number will only increase this year .
For organisations to bring calm to this data chaos and accelerate their AI adoption , they need to put the cart back behind the horse and invest in the integrated data management solutions that can deliver trusted , secure data , reduce costs and drive measurable growth . As our CEO Amit Walia relayed to Jon Fortt of CNBC during recent earnings conversations , “ Gen AI has made data management a business process ; without a good , clean data layer , there isn ’ t Gen AI .”
Q . WHY IS ETHICAL AI SO IMPORTANT AND HOW CAN BUSINESSES ENSURE RESPONSIBLE AI OPERATIONS ?
» Accuracy , bias and hallucinations are all valid , well-documented concerns when it comes to AI , particularly around LLMs and the Gen AI solutions they power . Without implicit trust in the output , these innovations are little more than advanced party tricks . Unsurprisingly , nearly 40 % of data leaders we surveyed cite AI ethics as a key hurdle to AI adoption .
AI and Gen AI must be never considered a ‘ set it and forget it ’ tool – human oversight to continuously refine and fine tune models must be built
“ The reality is , at the enterprise level , everyone claims to be ready for AI , but is their data ?”
into the lifecycle . Regular and ongoing feedback loops are paramount to limit the impacts of this unwelcomed trinity .
From a data perspective , responsible AI operations should be anchored around two key ingredients – privacy and governance . Our survey confirmed data privacy and protection are top challenges to AI and Gen AI adoption , and they ’ re also the data management capabilities most in demand by leaders to support their data strategies .
Q . WHAT ARE SOME AI INNOVATIONS THAT INFORMATICA IS WORKING TOWARD AT THE MOMENT ?
» Our journey with AI predates the current hype era by three or four years . In 2018 , after we completely revamped our business trajectory and product suite to be cloud only , we unveiled CLAIRE – the industry ’ s first metadatadriven , AI-powered engine for data management .
CLAIRE , which automates and scales thousands of intensive tasks across the enterprise , currently processes 86 +
20 May 2024