Broadcast Transforms with IP Video and AI, Technology-Driven Shared Mobility Modes and Managing Data Sprawl in Financial Services

IP Video and Emerging Technologies — Including AI — Are Poised to Transform Broadcast Operations Around the World

Rising competition from over-the-top (OTT) streaming service providers, rapidly changing consumer expectations, and the introduction of disruptive emerging technologies — including artificial intelligence (AI) — are converging to transform the broadcast sector.

Consequently, leaders in the industry are accelerating efforts to modernize investments in production and information technology to support new workflows and operations that will enhance their market positions, according to Eric DENIAU , senior vice president of research and development at VITEC , in a podcast interview for journalists.?

“The broadcast sector is an industry in transition. Participants face challenges from other broadcasters and increasing competition from streaming providers with lower operational costs — and simpler distribution mechanisms — through the strategic application of internet protocol-based (IP) infrastructures,” he explains. Read on here.

In the Quest for Flexible, Efficient, and Sustainable Transport, Cities Turn to Technology-Driven Shared Mobility Modes — Frost & Sullivan

The move away from personal transport, paralleled by the intensifying thrust on integrated, multimodal, and sustainable transport networks, is providing a fillip to the shared mobility market. Such seismic shifts are being underpinned by evolving customer expectations and a raft of enabling technologies. Accordingly, total GMV from the shared mobility market is set to exceed $1 trillion in 2023, catalyzed by the ride-hailing segment, according to analysts at 弗若斯特沙利文公司 .

Rising maturity in terms of shared mobility services means that operators can now move closer to achieving consistent profitability. The fulcrum of this shift will be technology, with start-ups and technology companies at the forefront of this transition. Read on here.

Financial Services Institutions Explore New Strategies for Managing Data Sprawl As Enterprise Infrastructures Grow in Complexity

The extreme fragmentation of infrastructure and end-point environments represents a new permanent reality for financial institutions that must determine how to ensure secure and effective access to structured and unstructured data scattered across a growing array of on-prem and cloud resources. It is a problem statement that affects institutions' productivity and operational efficacy as executives and staff hunt and peck for the most current and accurate information to support strategic decision-making and day-to-day operations.

According to analysts at 国际数据公司 , the issue is growing in intensity as financial institutions face fierce competition from digital banks and insurers that leverage data to deliver innovative products and services.?

"Data sprawl represents a growing challenge for leaders in the highly regulated financial services sector because efforts to modernize enterprise operations are gaining momentum," says Jason W. D. Cassidy , CEO of Kitchener, Ontario-based Shinydocs , in a recent podcast interview for journalists.

Supporting the hybrid workforce and mobile-first customers while embracing heterogeneous enterprise architectures is rendering moot conventional data management strategies that call for creating data lakes or other paradigms for centralized data repositories, adds Jim Barnet , director of enterprise accounts at Shinydocs, a company that has spent the past decade automating the process of finding documents, files and records and then aligning them with the requirements of staff workflows and stringent industry regulations.

"It is becoming clear that users need a lot more flexibility and less complexity in terms of where content is stored as well as how they access and work with structured and unstructured data," he says.?Read on here.

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