service provider


Microsoft & Nokia Come Together Yet Again, Aims To Work On AI, IOT, Cloud

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History exists so that man could learn from his mistakes, It's been around five years have passed since Microsoft's $7 billion ill-fated acquisition of Nokia's smartphone business, and now after learning too many lessons, both the tech champions are coming together yet again. Microsoft has announced a strategic collaboration with Nokia to accelerate transformation and innovation across industries with Cloud, Artificial Intelligence (AI) and Internet of Things (IoT). "Bringing together Microsoft's expertise in intelligent cloud solutions and Nokia's strength in building the business and mission-critical networks will unlock new connectivity and automation scenarios," Microsoft Azure Executive Vice President Jason Zander said in a statement. "We're excited about the opportunities this will create for our joint customers across industries." The new partnership combines Microsoft's expertise in Cloud Computing and Artificial Intelligence with Nokia's 5G private wireless and mission-critical networking prowess.


5 Signs You Should Re-Evaluate Your Relationship with Your MSSP

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From Equifax to Yahoo, and Facebook to Marriott, large-scale data breaches impacting hundreds of millions of consumers have received their fair share of media attention in recent years. All this ink hasn't been spilled (or pixels displayed) in vain: there's growing awareness among business leaders of the security and privacy risks their organizations face, and increasing concern that their preparedness may be inadequate. In a recent PwC survey, for example, 72% of CEOs worldwide listed cybercriminal activity as a significant threat to their businesses, yet only 35% were comfortable with their organization's digital resilience and readiness to face such threats. Especially among small and mid-sized enterprises, the growth in awareness of the severity and urgency of cybersecurity risks is driving demand for managed security services. Organizations are increasingly turning to external vendors to help them build, maintain, and monitor their security operations programs and the technologies that comprise them.


AI in Banking. And the Indispensable Data Dialogue - IntelligentHQ

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How ready are we as banks to adopt AI and applied technologies for the various relevant use cases in our business and organization? Let me try and draw a parallel and take you a few years back in time. About half a decade ago, if any one spoke of Cloud as a technology in the banking context and scenario, most bankers would typically cringe and say, "Do they even understand banking as an industry, the restrictions and the risks? Cloud cannot be a reality in the world of banking, especially with respect to business-critical systems." This belief now sounds more archaic than it is.


AI in Banking. And the Indispensable Data Dialogue - IntelligentHQ

#artificialintelligence

How ready are we as banks to adopt AI and applied technologies for the various relevant use cases in our business and organization? Let me try and draw a parallel and take you a few years back in time. About half a decade ago, if any one spoke of Cloud as a technology in the banking context and scenario, most bankers would typically cringe and say, "Do they even understand banking as an industry, the restrictions and the risks? Cloud cannot be a reality in the world of banking, especially with respect to business-critical systems." This belief now sounds more archaic than it is.


Exploring the AI Journey: The Value of the Service Provider - Futurum

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As artificial intelligence (AI) continues to gain traction across all industries due to its many benefits, it's no surprise that more businesses than ever are investing millions of dollars in this technology. With that kind of capital, you might think success with AI would be inevitable. In fact, a large percentage of AI efforts will likely fail in the near future. Why is that, and how can we change this fact? That's what we set out to find in our whitepaper, Exploring the AI Journey: The Value of the Service Provider.


How AI and Data Analytics can Boost CX in Utility Sector?

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AI and data analytics will allow the utility firms to optimize the management of customer data and connect with the customers at a deeper level. FREMONT, CA: Public utility companies have failed in maintaining customer experience levels. The inability to live up to the customers' expectations can be partly attributed to the lack of competition in the sector. However, there is another aspect to it too. Public utility companies had conventionally utilized the legacy systems that are slow and lack the efficiency required to meet the current service demands.


Microsoft will honor California's CCPA privacy law across the U.S.

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Microsoft said in a blog post on Monday that it would honor California's privacy law throughout the United States, expanding the impact of a strict set of rules meant to protect consumers and their data. Microsoft said in the post it was a "strong supporter" of the California Consumer Privacy Act, known as CCPA, which will go into effect on Jan. 1. The California law is widely expected to harm profits over the long term for technology companies, retailers, advertising firms and other businesses dependent on collecting consumer data to track users and increase sales. The law raised fears among companies of a rise in a patchwork of state laws and prompted efforts in Washington to write federal legislation that would pre-empt state efforts. In September, Reuters was first to report that the federal privacy bill is not likely to come before Congress this year as lawmakers disagreed over several issues.


How to Take the Security Risk Out of Outsourcing Your Data Labeling

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If you're on an AI project team that has massive data that requires labeling for machine learning or deep learning, you're in a race to usable data. Outsourcing seems the easiest answer. But what happens when data labeling involves protected or private data? What are the security risks that come with outsourcing your data labeling? Here's the short answer: you'll need to take a close look at your data labeling service provider and ask some critical questions.


Operators want AI and Automation in network operations: Ericsson

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That's just one finding in a new Ericsson report – Supercharging customer experience through AI and automation – that shows AI and Automation in operations has moved from concept to operational reality in the boardrooms of communication service providers worldwide. The report outlines how operations executives are using AI and automation to drive business outcomes and capture opportunities but also how they address challenges such as improving net promotor score (NPS) – a clear indicator of a good consumer experience – and cost efficiency. Ericsson's research shows that most communication service providers are already working on AI and automation initiatives. However they say that technology alone is not enough – new skills and ways of working are required for service providers to become more digital. These organizational changes are at least as important as the technological aspects in a successful transformation to become more digital.


Annotation Services for Machine Learning – Types, Quality, Pricing Lionbridge AI

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The growth of the AI industry has led to an increasing demand for data annotation services and the birth of more and more data annotation companies. Just what are annotation services and how do you use them to their full potential? This article will go over the types of annotation services, how to ensure good data annotation quality, and tips to help minimize annotation costs. Within the field of machine learning, annotation service providers are companies that annotate and process raw data, for the purpose of training AI models. Due to the large scale of data labelling tasks, annotation companies often employ crowdworkers to label the data and complete the project within the client's timeframe.