AI and Ethics: The Waters are Murky, but Help is Available

R. Bhattacharyya

Summary Bullets:

• Many organizations need help navigating ethical issues related to artificial intelligence (AI), such as privacy laws, unintentional bias, and lack of model transparency, but don’t know where to begin.

• Enterprises can benefit from working with a partner that helps them consider the ethical implications of their AI deployments, but they should keep in mind that issues aren’t static and can evolve over time.

Organizations are eager to enjoy the benefits that AI can bring to them – whether enhanced productivity, or new revenue-generating or enhanced customer experience opportunities. But many are unclear about how to navigate the murky waters of AI and ethics. Changing regulations and privacy laws, concerns over unintentional bias in training data, lack of transparency in AI models, and the dearth of experience with new use cases are difficult challenges to address. Enterprises want to ensure that their adoption of the technology doesn’t cross ethical boundaries, but often don’t know where to begin. Thankfully, the topic is being increasingly addressed by IT services providers. Many organizations, from IBM to Capgemini to Atos are touting that they help their customers implement AI while also considering the ethical implications of their deployment.
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Huawei Analyst Day 2019: Addressing the 5G Challenge for Middle East CSPs

D. Kehoe

Summary Bullets:

  • Middle East telcos are taking a proactive approach in their 5G deployments, and Huawei is an active player in the region.
  • While standards are shaping up and roadmaps evolving, partner selection is happening now.

5G is an emerging technology that transforms underlying architecture in core networks and promotes virtualization, AI and automation. It changes the possibilities of networks, applications and underlying IT systems. It introduces several new technologies that are different from any previous technology, some of which include:

  • Ultra-low latency – opens up new possibilities to converge the performance of network and apps, as well as entirely new use cases for cloud-based AR/VR. The health sector, for example, highlights possibilities in areas such as remote surgery.
  • Network slicing – allows users to set their own QoS/CoS parameters around virtual networks; advances SD-WAN; addresses security differently and opens new possibilities in IT/OT security.
  • Massive bandwidth – an ability to support 10 Gbps potentially, offering a lot of capacity to the last mile and resolving many bottlenecks we have today.

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