For companies F that can master it, Artificial Intelligence (Al) promises to deliver cost savings, a competitive edge, and a foothold in the future of business. But while the rate of Al adoption continues to rise, the level of investment is often out of kilter with monetary returns. Currently, only 26% of Al initiatives are being put into widespread production with an organization. Which means many companies are spending a lot of time on Al deployments, without seeing tangible ROI.
Meanwhile, in a world where every company must perform like a tech company to stay ahead, there's increasing pressure on technical teams and Engineering and IT leaders to harness data for commercial growth. Especially as spending on cloud storage increases, businesses are keen to improve efficiency, and maximize ROI from data that's costly to store. They don't have the luxury of time.
To meet this demand for rapid results, mapping data architecture can no longer stretch on for months with no defined goal. At the same time, it's regressive to focus on standard data cleaning or Business Intelligence (BI) reporting.
Rather, tech leaders must build data architecture with Al at the forefront of their objectives. Do otherwise, and they'll find themselves retrofitting it later. In today's businesses, data architecture should drive toward a defined outcome-and that outcome should include Al applications with clear benefits for end users. This is key to setting your business up for future success, even if you're not (yet) ready for Al.
STARTING FROM SCRATCH? BEGIN WITH BEST PRACTICES
This story is from the {{IssueName}} edition of {{MagazineName}}.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber ? Sign In
This story is from the {{IssueName}} edition of {{MagazineName}}.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber? Sign In
Cold-Pressed AI Juice - Is That Bottle Here? Is It Worth It?
Compressing AI models has been both an adventure and a formidable next-inflection-point in the many curves of AI innovation. Can we look for options better than, and beyond, erstwhile approaches like pruning and SLMs?
Indian Research: Far from a bouquet of ORCIDS yet. Why?
Indian brains are universally, and globally, applauded for their 'horse sense' - whether we look at our laser-sharp unicorns and wide-bracket start-ups or pride in the unshakeable global confidence placed for many decades in our IT industry. And yet, when it comes to top-drawer academic research, we are still considered by many as either a 'one horse town' or a 'one-trick pony'. Why this ever-widening gap against our global counterparts?
Accountability in the Age of AI
In this interview, Aayush Ghosh Choudhury, Co-Founder & CEO OF Scrut Automation shares insights on why clear accountability is essential when working with AI, how AI is transforming GRC practices, and the key risks organizations need to navigate. We also explore the advancements expected in the coming years and how organizations can strike a balance between AI adoption and compliance, ensuring responsible and ethical use of these powerful technologies.
Live On the Edge
How can companies leverage the combination of edge computing & AI to foster sustainability?
Technology and Fashion - The Vanilla Girl, without being Cheugy
Moving the needle in fashion- now that can go either way- between being too soft to being too flashy. Especially when it's about AI's copyright issues, personalisation, VR in design, Counterfeits, Quiet Fashion, Image recognition and carbon impact. Can an elastic CRM-fabric and data's new look help in threading the technology needle?
AI does not facilitate financial crime, it helps to fight it.
Why and where do AI models, SLMs, synthetic data and recommendation engines work as angels in areas when the devil is always in the details?
Multi-million and multi-year deals are back-both for first-timers and mature outsourcers
With IT budgets tightening and global uncertainties rising, multi-million, multi-year outsourcing deals are making a comeback.
The Big Five in a Technology Safari
Mobile banking, Blockchain, AI, IT Modernisation and? Wait, is Physical Banking the 5th one? Africa has, for long and quite-deservedly, been brave about exploring the wild forests of banking innovations and on-ground solutions that fit the region's limitations and untapped opportunities to the T. How do you make sure you stay gutsy, relevant and on the right track in such a region? How do you make IT your navigator when you want to be the top pan-African bank? Johnson Idesoh, Group Chief Information and Technology Officer at Absa Group takes us around and gives a peek on what customers here are actually hunting for.
India's Quantum Bet - the Dark Horse Who Eats Dark Chocolate
Or the Dark Matter? It's about the Quantum Race's Winning Gap. India could be the unexpected winner in quantum research, innovation and markets as long as we look beyond the QuBit game and fix real issues that still slow down the last lap. The action is happening, albeit invisible, till we see it shine in full glory.
Quantum Leap or Quantum Leap of Faith? Indian Industries Dive into Infinite Possibilities!
India is on the brink of a quantum leap, as industries from finance to healthcare begin to explore the transformative power of quantum computing. With the capability to perform calculations at speeds unimaginable with classical computers, quantum technology is not just a futuristic concept-it's becoming a practical tool for solving today's most pressing challenges and unlocking new opportunities for growth.
