Latest news with #ML
Yahoo
10 hours ago
- Business
- Yahoo
OxyCon 2025 Announces Leading Speaker Line-Up to Converge on AI and Web Scraping
Oxylabs reveals the speakers joining OxyCon 2025, the go-to web scraping event that brings together data professionals worldwide. Experts from Turing, NielsenIQ and TEGOS Legal will come together with Oxylabs' own team for a free online day full of industry-leading conversations. This year's OxyCon theme is the role of AI in web intelligence, with talks on legal frameworks, real-life applications and how this affects a range of industries. VILNIUS, Lithuania, August 11, 2025 - Oxylabs, leading web intelligence platform and proxy provider, has revealed the 2025 agenda for the industry-renowned event OxyCon. This year's spotlight on AI-powered intelligence will feature experts from Turing, NielsenIQ and TEGOS Legal. These experts will come together to share insight on the role AI plays in web intelligence and provide actionable advice on how developers can start using this today. OxyCon annually brings together global industry leaders, technical experts, and data innovators. This year's event will explore how AI is transforming web scraping and vice versa - from smart automation and large-scale data extraction to legal insights and real-world case studies. Oxylabs CEO Julius Černiauskas said 'As AI continues to prove revolutionary across industries, access to data has become essential to power the boom.. Web scraping is an essential tool in the world of AI, and so it's more important than ever that we all come together and discuss how to access data in a fair and ethical way. I look forward to hearing from global experts on the role of web scraping in powering AI, now and in the future.' The announcement of 2025's agenda demonstrates the strength of those already committed to sharing thoughts. The sessions for this year's event include: Zia Ahmad, Data Scientist at Turing presenting the applications of Machine Learning (ML) for improving web scraping methods and the real-life applications of this he uses day-to-day in his role working on Google's Gemini. Fred de Villamil, CTO at NielsenIQ Digital Shelf giving a walkthrough of how e-commerce data can be scaled in a way that means organisations can perform data extraction on over 10 billion products per day. Denas Grybauskas, Chief Governance and Strategy Officer at Oxylabs and major voice within the Ethical Web Data Collection Initiative leading a panel alongside partners from TEGOS Legal and Farella Braun + Martel on the complex legal landscape of AI and web scraping. A hands-on session with Rytis Ulys, Head of Data & Analytics at Oxylabs, on building AI-powered price comparison tools with only Cursor and Oxylabs' own AI Studio. Zia Ahmad, Data Scientist at Turing shared how timely his session will be: 'AI and web scraping can form a loop' Ahmad says. 'I'll explain how that loop could work, where data scraped from the web helps train AI models, and how those models, in turn, improve scraping. I'll cover both the benefits and the potential downsides of this feedback cycle. 'While not everything about it is practically feasible just yet, it's an exciting concept. I'll be discussing what's possible today, what might come in the future, what the blockers are, and how we might overcome them.' To find out more and claim a free space at the free virtual event held virtually on October 1st, visit the OxyCon 2025 website. Everyone interested will also be able to join the OxyCon Discord community, where they can engage with participants, speakers, and industry pros before, during, and after the event.-ENDS- About OxylabsEstablished in 2015, Oxylabs is a web intelligence platform and premium proxy provider, enabling companies of all sizes to utilise the power of big data. Constant innovation, an extensive patent portfolio, and a focus on ethics have allowed Oxylabs to become a global leader in the web intelligence collection industry and forge close ties with dozens of Fortune Global 500 companies. Oxylabs was named Europe's fastest-growing web intelligence acquisition company in the Financial Times FT 1000 list for several consecutive years. For more information, please visit: Media ContactsVytautas +370 655 34419Email: press@ in to access your portfolio


Time of India
a day ago
- Politics
- Time of India
Dipankar slams EC over revision of electoral rolls
Patna: CPI(ML) general secretary Dipankar Bhattacharya on Sunday accused the Election Commission (EC) of "daylight robbery" of votes through its special intensive revision (SIR) of Bihar's electoral roll ahead of the state assembly elections. He urged people to defend their democratic rights, describing the situation as "an open EC versus the people of India challenge." Bhattacharya linked his party's concerns to opposition leader Rahul Gandhi's expose of alleged "vote theft" in Bengaluru during the 2024 general elections. Referring to the EC's affidavit in the Supreme Court concerning removal of 6.5 million electors from Bihar's rolls, Bhattacharya said the EC had "stubbornly rejected" the court's advice to disclose supporting documents. He criticised the EC for inconsistent data releases during the SIR, highlighting jumps in numbers of 'probably deceased' electors from 1.43 million to 2.2 million and 'permanently shifted' voters from 1.97 million to 3.6 million. Bhattacharya also pointed out the unexplained decline in electors registered at several locations, alleging manipulation in the revision process. Stay updated with the latest local news from your city on Times of India (TOI). Check upcoming bank holidays , public holidays , and current gold rates and silver prices in your area.

The Hindu
3 days ago
- Politics
- The Hindu
ECI making erroneous claims on not receiving objections: CPI(ML) General Secretary
Accusing the Election Commission of making misleading claims about receiving no objections from political parties, CPI(ML) General Secretary Dipankar Bhattacharya on Friday (August 8, 2025) said the ECI has put the onus on the political parties to do the verification while introducing various hurdles in the process. 'Acting as political challengers' 'The EC should work as facilitators [by] helping us, instead they are acting as political challengers,' Mr. Bhattacharya told media persons in Delhi. He said that it is not that the objections have not been filed as the EC has received 6,257 claims and objections directly from the electors. Mr. Bhattacharya said the EC has provided a consolidated list to the political parties of the one released in January 2024 and the draft list published on August 1. No list in Hindi Booth-level lists have not been provided in all districts, he said. 'We have been repeatedly asking the EC to provide us with booth-level lists of deletion specifying the ground thereof, but that has not been done,' he said. Complaints cannot be filed till the reason for deletions as registered by the poll body is known. The lists are shared only in English and not Hindi as has been demanded by the political parties in Bihar, he added. Mr. Bhattacharya also said the deleted electors are being asked to apply afresh for inclusion by filling up Form 6. Mr. Bhattacharya asked, 'Let EC tell us how many of those filling Form 6 are first-time voters and how many are those who have been deleted.' The approach of the EC, that it is for the political parties to flag the discrepancies, is entirely wrong, he added. 'People are expecting their voting rights to be guaranteed by the EC and not by the block-level agents of political EC is demonstrating how the EC should not function,' he said. The CPI(ML) will be organising nationwide protests under the banner of 'Chunav Chor, Gaddi Chodo' (Vote Thieves, Leave the Chair) from August 9 to 11. This will be followed by a decentralised protest in Bihar to coincide with Independence Day. The INDIA bloc's Vote Adhikhar Rally (Vote-Right Rally) will begin August 17.


Time Business News
5 days ago
- Business
- Time Business News
Uncover How to Handle Data-Driven Testing in Salesforce Automation
There were times when testing Salesforce applications took repetitive manual tasks. There were large data tables to be handled with that constant fear of missing something. Well, AI and machine learning are making things much easier and quicker. Businesses that are looking for smarter, faster, and more reliable ways to ensure their Salesforce platforms work seamlessly need to get some artificial intelligence. So, let's learn how AI and machine learning are transforming Salesforce automation testing. Salesforce, being a highly customisable CRM platform, evolves continuously with updates, integrations, and new user flows. Testing every change manually or through traditional automated scripts often leads to bottlenecks. This is where Salesforce automation testing becomes essential. Yet, traditional automation has its limits. Scripts break, data sets become outdated, and testing at scale can turn into a nightmare. That is where AI and machine learning become helpful, as they work as enhancements. AI-driven testing focuses on making the testing process smarter, reducing human effort, and increasing test reliability. Here's how AI is changing the game: Machine learning models can analyse your existing Salesforce workflows and suggest or even auto-generate relevant test cases. This examination of historical test data and usage patterns is helpful. This feature of AI helps it to predict where bugs are most likely to occur, and so it builds test cases according to that info. Benefits: Saves time in writing repetitive test cases Reduces human error Ensures broader test coverage One of the biggest challenges in Salesforce automation testing is script maintenance. When the Salesforce UI changes, traditional scripts break. But AI-powered frameworks can detect UI changes and automatically update scripts using pattern recognition. What does this mean for your team? Reduced downtime due to broken scripts Less effort in manual script updates Faster regression cycles AI can evaluate which test cases are the most relevant to the latest changes. They will prioritise just those. Therefore, every test case need not be executed every time. This leads to: Shorter test cycles Focused testing on areas of highest risk Better utilisation of computing resources Salesforce automation testing thrives on data-driven frameworks. ML helps in managing and making sense of test data, especially when it involves hundreds of custom fields and user roles. Here's how: Generating realistic test data is often a hassle. Machine learning algorithms can analyse production-like data and generate test data sets that mirror real-world scenarios—without risking sensitive information. Pro tip: Use anonymised sandbox data with ML-backed synthetic data tools to simulate multiple edge cases. Machine learning can flag data inconsistencies or unexpected behaviour during test runs. It is capable of recognising patterns in past test results. If ML finds similar patterns, it will alert you about it even if the pattern does not immediately cause a test failure. Why it matters: Catches hidden defects Improves system reliability Provides early warnings Instead of hardcoding data validation steps, ML models can learn what a 'valid' outcome looks like and compare results automatically. This speeds up the entire verification process while maintaining accuracy. To understand the full impact, let's look at typical testing scenarios in Salesforce automation testing, and how AI enhances them: Scenario Traditional Testing AI-Enhanced Testing Regression testing after update Manual selection of test cases, slow execution Automated prioritisation of critical test cases UI changes in Lightning apps Scripts break and need rework Self-healing scripts adjust based on new UI elements Workflow rule testing Needs manual setup of multiple user roles and records AI suggests optimal combinations and sets them up Test data coverage validation Relies on limited manually prepared data sets ML generates high-volume synthetic test data Continuous integration and continuous deployment (CI/CD) pipelines depend on quick feedback. Integrating AI-enhanced testing ensures your Salesforce automation testing stays lean, fast, and effective. How AI helps here: Automates test execution after every build Highlights only the failed or high-risk areas Reduces time to identify bugs Suggests likely root causes based on historical trends While the benefits are clear, businesses must also prepare for certain hurdles: Data Privacy Concerns: When you are using ML tools, they require access to large datasets. Here, you have to anonymise the test data. You will also have to comply with GDPR or other relevant regulations. Initial Setup Time: The implementation of AI solutions takes time. Teams must invest in training models, integrating tools, and restructuring workflows. Change Management: Test engineers need time to adapt to AI-assisted workflows. Continuous upskilling is necessary. However, these are short-term challenges. With time, the ROI of AI in testing through reduced manual work and improved software quality is undeniable. Here's how you can make the most of AI and machine learning in your Salesforce test automation setup: Initially, you can automate the most frequently used and business-critical workflows. Allow AI to increase coverage over time. Update your data sets regularly. Your AI tools hugely depend on the data they learn from. You must implement AI-enhanced testing into your CI/CD pipelines. This way, you can catch issues early and improve delivery speed. You must make use of ML-powered dashboards to Understand patterns Track anomalies Improve testing logic continuously Hard-coded scripts and endless manual test cycles are behind us because we are moving to practical solutions. AI and machine learning are those solutions that – Improve the speed Accuracy Reliability of Salesforce automation testing The Salesforce environment is continuously growing in complexity. So, AI-enabled testing solutions are smarter options for businesses. You now have to start getting used to these tools for a better testing strategy and deliver better user experiences. Ready to move from traditional scripts to intelligent testing? The journey begins with one step: smarter automation. TIME BUSINESS NEWS


Time of India
5 days ago
- Politics
- Time of India
CPI(ML) accuses EC of misleading country on deletion of names from Bihar electoral roll
NEW DELHI: Accusing the of misleading the country by claiming that there are no complaints over deletion of names from Bihar voters lists, Communist Party of India (M-L) slammed the poll body for not providing booth-level lists of names deleted because of deaths and migration. Tired of too many ads? go ad free now It said the refusal to provide select lists is making it difficult for political parties to analyse exclusion of electors from the electoral roll. CPI (ML) chief said EC's claim that there are no objections or complaints is far from the truth, as the election body itself has admitted that 3,000 objections have been filed directly by electors, who have since been asked to apply afresh for inclusion by filling up Form 6. 'How does the EC know that the nearly 15,000 Form 6 received so far are all from first-term voters and not those whose names have been deleted?' he asked. Bhattacharya said CPI (ML) has repeatedly asked the EC to provide booth-level lists of the names deleted, and the reasons for the same, but the commission has not fulfilled the demand. 'The EC insists on supplying only consolidated lists, which makes it inordinately difficult for political parties to crosscheck every deletion. Why is the EC refusing to share booth-level lists of those considered dead or having permanently migrated from Bihar, especially if it is really serious about ensuring that no eligible voter is left out?' he wondered. He also asked why the lists are being shared only in English and not in Hindi.