5G introduced modularized network functions (NFs) to support emerging services in a more flexible and elastic manner. To mitigate the complexity in such modularized NF management, automated network operation and management are indispensable, and thus the 3rd generation partnership project (3GPP) has introduced a network data analytics function (NWDAF). However, a conventional NWDAF needs to conduct both inference and training tasks, and thus it is difficult to provide the analytics results to NFs in a timely manner for an increased number of analytics requests. In this article, we propose a hierarchical network data analytics framework (H-NDAF) where inference tasks are distributed to multiple leaf NWDAFs and training tasks are conducted at the root NWDAF. Extensive simulation results using open-source software (i.e., free5GC) demonstrate that H-NDAF can provide sufficiently accurate analytics and faster analytics provision time compared to the conventional NWDAF.

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Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! While business transformation has always been critical to staying relevant and competitive, global disruptions brought on by the COVID-19 pandemic created an urgency to accelerate innovation to keep pace with market conditions and changes in customer demand. In fact, many digitally transformed companies have not only survived -- they've thrived. According to a 2021 McKinsey Survey, top-performing companies now obtain a larger share of their sales from products or services that didn't exist just one year ago.

In this article, we'll learn in step-by-step process to create the Text Analytics Service in the Azure Cognitive Services. The text analytics will come in handy while working with projects related to NLP ie. Natural Language Processing and provides features such as Sentiment Analysis, Text Summarization, Key Phrase Extraction and many more. This article is also a prerequisite for the article series on Sentiment Analysis. Let us get introduced to Azure Cognitive Services, Text Analytics and then go through the tutorial.

"Changes to Azure services and the Azure platform itself are both inevitable and beneficial, to ensure continuous delivery of updates, new features, and security enhancements. However, change is also a primary cause of service regressions that can contribute towards reliability issues--for hyperscale cloud providers, indeed for any IT service provider. As such, it is critical to catch any such problems as early as possible during the development and deployment rollout, to minimize any impact on the customer experience. As part of our ongoing Advancing Reliability blog series, today I've asked Principal Program Manager Jian Zhang from our AIOps team to introduce how we're increasingly leveraging machine learning to de-risk these changes, ultimately to improve the reliability of Azure."--Mark This post includes contributions from Principal Data Scientists Ken Hsieh and Ze Li, Principal Data Scientist Manager Yingnong Dang, and Partner Group Software Engineering Manager Murali Chintalapati.

When any web or digital professional thinks "analytics," the first name that comes to mind is Google. And for good reason: the Google Analytics platform is the most widely used on the planet. Every day, millions of individuals and organizations rely on Google's insights as their "source of truth," helping them to better understand their customers and improve their digital experience. Google Analytics 4 was just released, and everyone from developers to digital marketers have been eagerly anticipating this update. The good news: it doesn't disappoint.

Israeli startup SimilarWeb has made a name for itself with an AI-based platform that lets sites and apps track and understand traffic not just on their own sites, but those of its competitors. The startup has raised $120 million, funding it will use to continue expanding its platform both through acquisitions and investing in its own R&D, with a focus on providing more analytics services to larger enterprises alongside its current base of individuals and companies of all sizes that do business on the web. But not, it seems, necessarily an IPO at the moment. Co-led by ION Crossover Partners and Viola Growth, the round doubles the total amount that the startup has raised to date to $240 million. Offer said that it was not disclosing its valuation this time around except to say that his company is now "playing in the big pool."

Does your small business provide Artificial Intelligence (AI) and predictive analytic services? Are you interested in working with the federal government? We need more small businesses like yours. Join us for this FREE virtual webinar on October 21, 2020 via Zoom to learn about available federal opportunities. During this virtual event, you will learn about the various contracting approaches to the acquisition of federal technical services and emerging opportunities for AI and predictive analytic services in the federal government.

In this crazy year of online events, conferences are trying to lure the audience by offering anything and everything under the hood. Promises are being made that hundreds of topics will be covered. Data Platform Virtual Summit 2020 will cover the length and breadth of Azure Data, Analytics & AI stack. Yeah, your favorite SQL Server comes under Azure Data & your lovable Power BI comes under Analytics:). This year we are adding a new track, Industry Solution, which will feature sessions related to Data/Analytics/AI solution-ing for different industries and verticals like BFSI, Manufacturing, Retail, E-Commerce, Healthcare, Utility, Energy, Hospitality & more.