Monday, November 10, 2025
ad
Home Blog Page 348

Microsoft Releases Clarity, A Web Analytics Platform That Provides Videos Of User Behaviour

By
Analytics Drift
-
Microsoft Clarity

Microsoft releases Clarity–a free web analytics platform–for website administrators to precisely understand user behavior with videos, heatmap, and other insights. Clarity goes beyond what Google Analytics offers, thereby simplifying the way administrators assimilate user activity. Besides, it integrates with Google Analytics to collect the data and provides metrics of user engagement.

Microsoft Clarity

Watch User Behaviour

With Microsoft Clarity, you can view the recorded video sessions of users’ interactions with web pages. These videos are screen recorders of users, which showcase web pages’ scroll and interaction with elements.

However, the recorded videos hide sensitive information to comply with various data regulations of different countries. For instance, if a user is providing its email id for a newsletter subscription, you will see a symbol instead of the text to protect privacy.

This makes it better than Google Analytics, which only offers graphs and other visualizations. While those insights by Google Analytics are helpful, nothing beats the value provided by user behavior recordings.

Must-Use Filters:

There are multiple filters in the recorded sessions, which can be used to go more in-depth of the user behavior. For one, rage clicks; it shows which parts of web pages users are clicking continuously. This indicates that users are expecting a hyperlink while interacting with elements. Such insights allow administrators to fix the issue by providing relevant hyperlinks.

Similarly, Excessive scrolling filters will show you the recordings of rapid scrolling. This demonstrates that either the user is not interested in the displayed content or is looking for something (link or product) that is not apparent.

Understand What Your Users Like

Heatmaps–another feature–by Microsoft Clarity shows which portion of your website is more interesting to users. Heatmaps come in two forms–clickmaps and scrollmaps. While clickmaps show which content on web pages are vital to your users, scrollmaps show whether your users see what’s important.

In the above picture, the regions with a red mark tell where users have clicked more often. This can help you align your expectations with reality by making the necessary changes to the website’s design.

A Dashboard To View The Overall Performance

Although the dashboard is not as good as Google Analytics, it provides analysis like average scroll depth percentage, dead clicks (click on an element with no effect), and more. Apart from this, it offers basic analytics such as sessions count, page per session, operating systems, users’ country, among others.

Also Read: Qlik Beams In BARC’s The BI & Analytics Survey 21 Results

Outlook

While Microsoft, at least with the current version, might not be able to replace Google Analytics, it is an exceptional extension to the existing web analytics platform you might be using. Google Analytics is being given a run for its money as several companies like Cloudfare and Microsoft are tapping into the web analytics market. While Cloudflare is focusing on privacy, Clarity is offering superior features. Google Analytics needs to re-think its strategy in order to hold on to its market share.

Advertisement

Yann LeCun Ruptures The GPT-3 Hype With A FB Post

By
Analytics Drift
-
Yann LeCun GPT-3

Yann LeCun, VP & chief AI scientist of Facebook, in a social media post, was critical of the hype around GPT-3. Citing the recent evaluation of GPT-3 by doctors and machine learning practitioners at Nabla, Yann LeCun said that people have unrealistic expectations from GPT-3 and other large-scale NLP models.

“GPT-3 doesn’t have any knowledge of how the world actually works. It only appears to have some level of background knowledge, to the extent that this knowledge is present in the statistics of text. But this knowledge is very shallow and disconnected from the underlying reality,” wrote LeCun in a Facebook post. The post also got viral and drew the attention of practitioners on Hacker News, which was trending on top.

Although it was not the first time that GPT-3 was placed under the spotlight for being inaccurate, Nabla’s article demonstrated why GPT-3 should be strictly avoided in the healthcare industry. For one, the model suggests committing suicide is a good idea (figure 1).

Figure 1

Such examples clearly demonstrate that GPT-3 is far from integrating into our day-to-day life tasks, especially in highly regulated sectors. Despite numerous opinions showing the weakness of GPT-3, the hype did not take a hit. This is mostly because many have glorified the largest language model to carry out creative tasks like writing an article or code with just a few prompts.

The examples where GPT-3 is outperforming humans is due to the amount of data it is trained with. But, in reality, the model doesn’t have any cognizance of what is happening, thereby, it does not further the development of artificial intelligence. Accomplishing real intelligence requires a different approach as humans do not rely on a colossal amount of data to make decisions.

“But trying to build intelligent machines by scaling up language models is like building a high-altitude airplanes to go to the moon. You might beat altitude records, but going to the moon will require a completely different approach,” LeCun wrote.

Advertisement

Qlik Beams In BARC’s The BI & Analytics Survey 21 Results

By
Analytics Drift
-
BARC’s The BI & Analytics Survey 21

The recent BARC The BI & Analytics Survey 21 showcases the high esteem the BI and analytics community has for Qlik® as a leading choice for modern analytics and business intelligence. Qlik Sense® earned 11 number one rankings and 44 leadership positions in four peer groups in the annual survey of over 2,500 BI and analytics practitioners.

“Qlik is laser focused on delivering robust and easy-to-use modern analytics that drive actionable insights for everyone throughout an organization,” said Josh Good, Vice President, Product Marketing for Data Analytics at Qlik. “This year’s BARC The BI and Analytics survey results, which show Qlik Sense as first in 11 categories, clearly demonstrates that for many organizations, Qlik is exceeding expectations and delivering a positive impact on their organizations through data and analytics.”

BARC’s The BI & Analytics Survey 21 is based on findings from the world’s largest and most comprehensive survey of business intelligence end-users, analytics professionals, IT, and stakeholders. The independent survey examines Qlik customer feedback on BI product selection and usage across 36 criteria (KPIs), including business benefits, project success, business value, recommendation, customer satisfaction, customer experience, innovation, and competitiveness.

This year’s survey shows incredible enthusiasm for Qlik’s modern analytics offering, Qlik Sense. Per BARC, “Qlik Sense has significantly improved on its already impressive results from last year’s BI Survey, earning 11 number one rankings and 44 leadership positions in its four peer groups.” Those accolades include:

  • Top Ranked in eight categories for Large international BI vendors, including business benefits, business value, recommendation, product satisfaction, dashboards, analyses, customer experience, and data preparation
  • Top Ranked in two categories for Self-service analytics-focused products: analyses and competitiveness
  • Top Ranked in competitiveness for Embedded analytics-focused products

The report also details that for those who know analytics best, Qlik Sense is delivering superior impact and performance. Analytics professionals, IT, and stakeholders had this to say on how Qlik Sense is delivering superior performance and impact. 

  • “The best visual analytics software right now. No other tool makes it so easy to find hidden insights and answer questions that you didn’t even know you had.” – BI/Analytics Project Manager for > 2,500 employee Oil, Gas and Mining organization.
  • “I believe Qlik Sense has flipped traditional BI development on its head. Its ability to handle large, multiple and/or poor-quality data sets, without cumbersome expensive warehousing and its agility to produce cost effective, timely, consistent and meaningful BI for the business.” – BI/Analytics Project Manager for 100-2500 employee Public Sector organization on what they like most about Qlik Sense.
  • “Go ahead and buy it. It is a life saver.” – BI/Analytics Project Manager from the IT department of 100-2,500 Education focused organization.

Qlik Sense also saw 90 percent or higher ratings (excellent or good) from surveyed users in crucial categories such as analyses, dashboards, satisfaction, and recommendation. 

  • 93% for Qlik Sense analyses functionality
  • 93% for Qlik Sense dashboard creation ability
  • 93% would recommend Qlik Sense
  • 94% are satisfied with Qlik Sense

Qlik democratizes analytics and BI so people at all skill levels can freely explore data. Qlik Sense is the market’s most powerful and complete SaaS analytics offering, powered by Qlik’s patented Associative Engine and advanced AI assistance through Insight Advisor. With Qlik, the entire workforce can uncover hidden insights, make smarter decisions, and drive better outcomes through data.

Advertisement

Microsoft Lobe — A Free Platform For No-Code Machine Learning

By
Analytics Drift
-
Microsoft Lobe

Microsoft releases Lobe, an intuitive open-source platform for developing end-to-end machine learning models. Using Lobe, you can build image classification models and export it into a wide range of formats such as Local API, TensorFlow Lite, TensorFlow, and CoreML to integrate with mobile and web apps. Lobe fills a sweet spot for customers looking for a simple and quick way to get started with machine learning using their PCs or Macs without requiring any dependency on the cloud, says Microsoft.

Microsoft Lobe

Lobe was acquired by Microsoft in 2018 to democratize machine learning with a no-code platform. The current release, however, can only be used for image classification. But, Microsoft is committed to expanding its capabilities for handling other data types. The next major iteration would be object detection to locate an object inside of an image and data classification to label data in a table based on its content.

The application — Microsoft Lobe — is currently available for Windows and iOS platforms and can work without the Internet or login credentials, thereby ensuring the privacy of the data you use for training the machine learning models.

You can import images or use your device camera to take pictures and label it to train the model. And after the automatic training, it displays the accuracy, which can be further improved by checking and relabeling the inaccurate classification of images. After evaluating the model, you can export and leverage it with applications; these models can also run on small Raspberry Pi.

Also Read: Microsoft & Netflix Launches 3 Free Data Science Modules

However, the final machine learning models are not limited to small projects. Many organizations are using Microsoft Lobe in real-world use cases to automate their business operations. For one, using Microsoft Lobe, The Nature Conservancy is Mapping Ocen Wealth project to evaluate how and where tourism, fishing, and other activities may be affecting essential ocean resources. This is helping five Caribbean countries make conservation and economic decisions.

Advertisement

Microsoft & Netflix Launches 3 Free Data Science Modules: Over to Moon

By
Analytics Drift
-
Microsoft Over The Moon

Microsoft and Netflix have joined forces to launch three data science modules to help you plan a moon mission with real-world data collected by NASA. The three modules are inspired by the new Netflix Original, Over the Moon, the lessons will guide you through data science and machine learning concepts and practices.

In Over the Moon, Fei Fei–a star character–builds a rocket to reach the moon all on his own. Just like she used science, technology, engineering, and mathematics, you will do the same with Python and Visual Studio Code, and Azure Cognitive Services.

Here are three modules:

  1. Plan a Moon Mission using the Python Pandas Library
  2. Predict Meteor Showers using Python and VC Code
  3. Use AI to Recognize Objects in Images using Azure Custom Vision

Looks interesting, right? But, what skills would you require to start this intimidating course? If you know Python and are familiar with the Pandas library, you should take these project-based modules and learn while analyzing and building simple machine learning models with real-world data.

The Microsoft Over The Moon modules covers topics right from data wrangling to creating hypothesis and computer vision techniques. You can also learn more from Learn with Dr. G live episodes to gain exciting insights into the Moon Missions as this will help you get a real picture of the modules.

“Netflix is excited to partner with Microsoft to bring some of the challenges of space travel that Fei Fei overcame in ‘Over The Moon’ to life with real world technical application in this new Microsoft Learn path.” says Magno Herran, head of UCAN Marketing Partnerships, Netflix.

Since the announcements of Microsoft’s Global Skills Initiative, a mission to inspire 25 million people to acquire the new age technologies, in summer, Microsoft has taken numerous initiatives to accomplish its target. For instance, Microsoft AI Classroom Series, Microsoft Learn For NASA, and more were released to allow enthusiasts to learn from experts.

Advertisement

Microsoft Releases Adversarial ML Threat Matrix To Fortify Attacks

By
Analytics Drift
-
Adversarial ML Threat Matrix

Along with the contributions from 11 organizations like IBM and NVIDIA, Microsoft and MITRE released the Adversarial ML Threat Matrix. The open-source framework will allow security analytic to identify, respond, and mitigate threats against artificial intelligence-based solutions. According to Gartner’s Top 10 Strategic Technology Trends for 2020, 30% of all AI cyberattacks will leverage training-data poisoning, AI model theft, and adversarial samples to attack ML solutions.

In another survey by Microsoft, 25 of the 28 organizations struggle to find the right tool or methodologies to address attacks on ML models. Such prevailing challenges among companies have raised concerns about using AI in sensitive and highly regulated business operations.

Mike Rodriguez, director of the computer vision research group of MITRE, said that the ML community needs to focus on security while making AI work for many applications. He further noted that, unlike the Internet, where there are numerous flaws because security was ignored in the 1980s, it is not too late with AI.

As the adoption of AI is increasing, there is a need for a framework to assist organizations in delivering secure AI models by eliminating security shortcomings. As a result, with the Adversarial ML Threat Matrix, Microsoft strives to mitigate flaws in AI.

What is Adversarial ML Threat Matrix, And Its Benefits?

“Unlike traditional cybersecurity vulnerabilities that are tied to specific software and hardware systems, adversarial ML vulnerabilities are enabled by inherent limitations underlying ML algorithms. Data can be weaponized in new ways which requires an extension of how we model cyber adversary behavior, to reflect emerging threat vectors and the rapidly evolving adversarial machine learning attack lifecycle,” notes in a blog post.

Also Read: GitHub Launches Code Scanning To Find Vulnerability In Your Code

Figure 1 – Adversarial ML Threat Matrix

Adversarial ML Threat Matrix is a curated set of prevalent attacks like model stealing, adversarial attack, data poisoning, and more. The above image (Figure 1) describes the categories of the framework, which are similar to the ATT&CK Enterprise standards. The benefit of adopting the blueprint of the existing framework–ATT&CK–is to avoid the change in security analysts’ workflows while working with AI models.

Read more here.

Advertisement

AWS Launches Cloud Innovation Centre (CIC) In India

By
Analytics Drift
-
NITI Aayog Frontier Technologies CIC

AWS, in collaboration with NITI Aayog, launches Cloud Innovation Centre (CIC) in India during a virtual launch event, making it first in the world for AWS to engage with a government agency at a national level. The idea behind the NITI Aayog Frontier Technologies CIC is to help educational institutes, startups, government agencies, nonprofits firms, and public sector organizations come together and solve critical societal challenges in the country.

Talents from different institutes and organizations can leverage AWS technologies and innovate to quickly bring products in the market. With the CIC, one can gain access to essential knowledge, skills, and resources to blaze a trail in a wide range of underserved sectors like agriculture, health and more. CIC will also act as a gateway for associating with government departments to include subject matter experts. 

“The NITI Aayog Frontier Technologies CIC will enable pace of innovation with rapid prototyping of applications, while lowering cost of experimentation with technology, and scaling quickly to deliver outcomes good for the public sector in India,” said Manav Sehgal, India lead of AWS CICs.

AWS has witnessed several benefits from CIC in countries like Australia, Bahrain, Germany, France, among others, as it is accelerating innovation and deployment of solutions. In India, CIC will empower companies to solve India-specific challenges by using the entire AWS technologies for ML, AI, AR/VR, storage, networking, IoT and more. 

Also Read: Amazon Is Offering Free AWS Training & Certificate Of Participation

“We invite public sector organizations in India to submit real-world challenges to the NITI Aayog Frontier Technologies CIC. We will combine public sector knowledge of the community and use AWS technologies to address selected challenges. We will also share the prototypes and documentation that we create as open source with other communities facing similar challenges,” said Ben Butler, global lead for AWS CICs at AWS.

Advertisement

Top AI News Of The Week [October 18, 2020]

By
Analytics Drift
-
AI news October 18

This week, artificial intelligence has touched more people than ever before. While Google is using ML to deliver superior and in-depth search results for most of the queries, Microsoft deployed its novel model in Azure that describes images better than humans. Besides, this year is becoming the “year of self-driving cars” as numerous autonomous ride-hailing services have obtained the permit for driverless vehicles. More recently, General Motors’s subsidiary got the approval for its pilot program. Of the many developments, we bring you the top AI news of the week (October 12 -18) to catch up with every growing AI landscape. 

Here is the top AI news of the week (October 12 -18):

GM’s Subsidiary Gets Approval For Driverless Raid-Hailing

Cruise–an autonomous driving subsidiary of General Motors–gets the permit from California DMV to offer driverless raid-hailing service without a safety driver. “We’re not the first company to receive this permit, but we’re going to be the first to put it to use on the streets of a major U.S city,” notes Dan Ammann, CEO of Cruise. Companies like Waymo, Zoox, Nuro, and AutoX have been earlier granted permission to test fully driverless vehicles. The rollout, similar to Waymo, will be gradual and will start in one of the San Francisco areas.

Google Integrates BERT In Google Search

Topic Understanding

While Google started leveraging BERT on October 25, 2019, for a few searchers to understand the context of queries, the company announced that BERT is being used for almost every search. According to Google, search with BERT will enhance drastically, as it will provide in-depth results. For instance, it can answer your questions with its feature snippets, provide articles related search’s subtopics, manifest videos for quick navigation, and more.

Read more.

Microsoft’s AI Surpasses Humans In Describing Image Caption

Microsoft introduces an AI that surpasses humans in image captioning with VIVO (VIsual VOcabulary). Post the release of the research paper on September 28, the company quickly integrated the model this in its Azure services on October 14. 

“Image captioning is one of the core computer vision capabilities that can enable a broad range of services,” said Xuedong Huang, a Microsoft technical fellow and the chief technology officer of Azure AI Cognitive Services in Redmond, Washington.

Describing images helps the visually impaired interact with the content on the web effectively. But, due to the absence of adequateimage captioning technique, they had to rely on inaccurate user generated descriptions. What made matters worse is that people usually ignore the importance of ‘Alt Text” while posting content on social media or the web. With VIVO, Microsoft can mitigate the challenge of manual entry with reliable AI.

Read more.

NSCAI’s Third Quarter Recommendations To Congress

Chaired by Dr Eric Schmidt, former CEO of Google, the National Security Commission on Artificial Intelligence (NSCAI) submitted third quarter recommendations to congress, asking them to implement immediately in various areas.

The committee suggested that the government should have Technology Competitiveness Council to device a roadmap for national technology leadership strategy and integrate relevant technological, economic, and security policies. Besides, it pinpointed the importance of nurturing an AI talent pipeline to democratize innovation by providing researchers with the necessary resources. Another essential recommendation by the committee was to collaborate with allies to ensure the responsible use of AI.

Read the complete report here.

Intel India Launches AI Research Center, INAI

Intel, in collaboration with the government of Telangana, International Institute of Information Technology, Hyderabad, and the Public Health Foundation of India (PHFI), introduced an AI research center, INAI. Primarily, it will focus on addressing India-specific challenges to deploy AI at scale. INAI will also curate data to allow researchers analyze and mitigate strenuous challenges associated with smart mobility and non-communicable diseases. By providing resources and other infrastructure to researchers, INAI also wants to lure talents from across the globe to join INAI and innovate.

Advertisement

Intel India Launches An AI Research Center, INAI

By
Analytics Drift
-
INAI

Yesterday, Intel India hosted an artificial intelligence virtual summit — all.ai, where the company announced an applied AI research center, INAI. Given India’s diversity and population, the strategy to democratize AI demands a different approach than other nations. To address such challenges, the five-day conference is focused on democratizing AI for population-scale impact.

The AI research center will determine and solve India-specific challenges in the healthcare and smart mobility segment. For smart mobility, INAI will assist in analyzing and reducing road accidents. And in healthcare, it will work to enable solutions to extend health coverage and develop superior ML models for predicting non-communicable diseases.

Also Read: IBM Is Offering Free Year-Long Quantum Computing Course

The idea behind the initiative is to create national assets by curating datasets, providing computational resources, and tools and frameworks, to attract global talents in research work. 

Instilled in IIIT Hyderabad, INAI will become foundational for India to leverage artificial intelligence for social good. “The ultimate benchmark of the success of AI will be how far it leads to social improvement. Digital India should ensure digital inclusion, achieved through homegrown tech which are developmental in character,” said Ravi Shankar Prasad, Electronics & Information Technology Minister of India, at the virtual event.

INAI will be a combined effort of Intel India, the government of Telangana, International Institute of Information Technology, Hyderabad, and the Public Health Foundation of India (PHFI). Collaborating with a wide range of institutions will enable the research center to innovate and deploy AI-based solutions to solve strenuous problems in India.

“The launch of INAI, the Applied AI Research Center in Hyderabad, is a key milestone in our digitalization journey,” said Sri K. T. Rama Rao, Hon’ble Minister for IT, Industries, MA & UD, the government of Telangana. “I strongly believe it is imperative for all ecosystem stakeholders to collectively work with a synchronous effort towards realizing our AI vision for enabling better governance and elevating quality of life for our people.”

Advertisement
1...347348349...354Page 348 of 354