[…] on the industry as a whole? The challenges will be around artificial intelligence (AI), specifically generative AI (genAI), as there is a high demand to incorporate this technology into enterprise environments. However, genAI requires enterprise data to be thoroughly managed, well-performing, accessible and architected and most data environments need remediation for this. Another big […]
What challenges do you see for data in the year ahead that will have an impact on you and on the industry as a whole? The way we talk about data is holding the industry back. Despite the excitement around generative AI (genAI) and related technologies I still believe in many cases data leaders spend […]
[…] and my audience is wide. I regularly speak with the Board and Executive Committee about our strategy, updates on use case exploration and the value that the technology could bring to our employees and customers. With employees, my job is to encourage their curiosity and showcase how we believe AI can be assistive to […]
[…] industry, driven by artificial intelligence (AI)’s evolution. Key challenges include ensuring data quality, upholding privacy and compliance, fostering a data-centric culture, bridging the talent gap, and leveraging technology effectively. As transformational leaders, CDOs must navigate these challenges, acting as both change agents and Chief Transformation Officers. Their role is critical in mitigating risks and […]
How are you developing the data literacy of your organization, including the skills of your data teams and of your business stakeholders? Data transformation transcends mere technological shifts; it necessitates a profound cultural overhaul, a fundamental shift in organizational operations, and mindset. It is an art form, seamlessly integrating data, insights, and tools into […]
What challenges do you see for data in the year ahead that will have an impact on you and on the industry as a whole? GenAI has made its mark on the industry and is being pushed into organizations in use cases it was not intended for. This will create a challenge in implementing projects […]
What challenges do you see for data in the year ahead that will have an impact on your clients and on the industry as a whole? Challenges include domain orientation in analytics needs, evolving data products structural stacks managing data complexity from exponential growth in data volume, variety, valency, value and velocity, requiring robust […]
[…] we are developing data literacy in the organization is through our Advanced Analytics Resource Center (AARC) at our downtown Chicago office. This two-year program drives value through technology, insights, and decisioning intelligence to improve the customer experience and allows young professionals to gain exposure to multiple business areas, develop technically, and receive ongoing coaching […]
What challenges do you see for data in the year ahead that will have an impact on you and on the industry as a whole? There is a growing skills gap in the industry. The rapid evolution of data analytics and artificial intelligence (AI) technologies makes it hard to stay up to date. Just keeping […]
What challenges do you see for data in the year ahead that will have an impact on your clients and on the industry as a whole? With all the technological advancements and modernization across the data value chain the biggest challenge is looking holistically across all data types (structure and unstructured) bringing together to […]
[…] leadership and working committee level representation across all our business lines inclusive of streaming, sports, news, entertainment, studios, and theme parks in close partnership with our corporate technology, privacy, legal, infosec and governance teams. This executive council sets the cross-line data priorities, allocates resources to key initiatives and conducts an ongoing series of alignment […]
[…] on the industry as a whole? The most significant challenge in data at this point is to communicate that the new tools available make all data available for active use; we no longer have to restrict ourselves to structured data. That message needs to be understood more broadly in both technology and management communities.
What impact has the pandemic had on demand from your clients? Over the last two years, we’ve witnessed the toughest health crisis of modern times. The Covid-19 pandemic has not only changed the very nature of our work, it has changed the significance of our outcomes as well. While the heart of our health work […]
Prior to joining Invesco, Tyo was chief data officer at Nationwide for four years where he was responsible for overall strategic vision, planning, execution and management for data optimisation. He also held chief data positions at BB&T and USAA where he introduced new technologies and business operations.
[…] even those who have mature data practices. Tell us about the data and analytics resources you are responsible for As part of a responsible AI team within enterprise technology, our mission is to bring standardization, ethics and best practices to our firm. We support all functions and stakeholder groups, especially data practitioners, owners and users.
[…] expertise is to transform data into business value and improved customer experiences by delivering strategic and innovative capabilities that use analytic insights to enable growth and productivity. Bhandari aims to convert challenges into opportunities, solving the most complex problems through data, AI, and technology while building a trusted, enterprise-wide data and AI backbone for IBM.