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VentureBeat
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Thomson Reuters’ CoCounsel redefines legal AI with OpenAI’s o1-mini model
- Thomson Reuters has launched testing of a custom version of OpenAI's o1-mini model in its CoCounsel legal assistant.
- The implementation marks the first enterprise customization of the o1-mini model and showcases the transformation of AI strategies in large companies.
- Thomson Reuters has deployed specialized AI models from OpenAI, Google, and Anthropic, each optimized for specific legal tasks.
- The adoption of o1-mini has shown significant performance improvements, particularly in detecting nuanced instances of privilege and enhancing reasoning and contextual understanding.
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Medium
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Unveiling 25 Years of Liquid Web: What’s Next for Your Hosting Needs?
- Liquid Web, a premier managed hosting provider, celebrates its 25th anniversary.
- With over 30,000 customers in 150 countries, Liquid Web offers diverse hosting solutions.
- The company focuses on customer satisfaction and provides 24/7/365 Heroic Support®.
- Known for reliability and exceptional support, Liquid Web is a top choice for SMBs and creators.
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Medium
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Is Liquid Web the Ultimate Solution for Your Hosting Needs?
- Liquid Web is a leading web hosting provider that offers exceptional hosting services with unmatched performance and reliability.
- Founded in 1997 by Jim Geiger, Liquid Web serves over 500,000 customers across 150 countries and ensures 99.999% uptime.
- They specialize in fully managed hosting solutions like Cloud VPS and dedicated servers, delivering high-performance and reliability for businesses globally.
- With their emphasis on exceptional customer support, cutting-edge technology, and global infrastructure, Liquid Web is a premier choice for businesses seeking reliable and scalable web hosting solutions.
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Analyticsindiamag
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Why the Indian Open Source Community Loves Meesho Now More than Ever
- Meesho has open-sourced its machine learning platform reacts in India.
- The platform is used by more than 2 million sellers and 160 million plus consumers.
- Meesho's ML platform handles cataloguing listing, pricing recommendations, ranking systems, fraud detection and user engagement.
- The company plans to open-source more components in the future, starting with its feature store.
- The feature store handles millions of requests per second and serves two trillion features per day.
- Model Inference serves over 500k requests per second in prediction.
- Meesho reduced the pod boot-up time from 6 to 7 minutes to just 10 seconds and reduced costs by 40%.
- Mukherjee hopes startups will adopt their platforms, reducing costs and production time, while benefiting from community feedback.
- Indian startups Zerodha, Flipkart, Swiggy, PhonePe, Zomato and CRED have public repositories on their GitHub page.
- Meesho joined the group of Indian startups by open-sourcing a part of its tech stack.
- Meesho benefits from open-source projects and now wants to give back.
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Medium
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How AI might be the next big thing
- AI is changing how jobs work, such as in hospitals and banks, improving diagnostics and security.
- AI is already part of our daily lives through virtual assistants like Siri and Alexa and smart home devices.
- AI increases productivity by automating tedious tasks, allowing more time for important activities.
- Despite benefits, AI raises concerns about privacy and potential job displacement, emphasizing responsible use.
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Medium
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Fiverr: Your Gateway to Earning and Hiring Global Talent
- Fiverr is an online platform that connects freelancers with businesses seeking specific services across 500+ categories.
- Benefits of choosing Fiverr include diverse range of services, affordable pricing, global talent pool, and safe transactions.
- To maximize earnings on Fiverr, optimize your profile, offer competitive pricing, deliver exceptional quality, and leverage Fiverr promos.
- Fiverr is offering a special deal of a $100 bonus for new sign-ups using an exclusive referral link.
- SEO tips for Fiverr success include targeting relevant keywords, creating quality content, using backlinks, optimizing for mobile, and promoting on social media.
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Medium
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Statistical Analysis Using Python: Insights from Cancer Treatment Data
- This project focuses on statistical analysis using Python to uncover insights from a fictitious dataset inspired by real-world cancer treatment experiments.
- The dataset consists of 100 mice with squamous cell carcinoma (SCC) treated with four different regimens.
- The project emphasizes data accuracy and ethical experimental design, drawing inspiration from research standards.
- The goal of the project is to showcase the application of data analysis techniques to any dataset or field.
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Medium
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From Data to Insights: Segmenting Airbnb’s Supply
- At Airbnb, understanding host availability is essential for product development, campaigns, and operations. Airbnb uses segmentation to segment availability for millions of listings daily. By enriching availability data with novel features and applying machine learning techniques, they developed a practical approach.
- Traditional segmentation methodologies, such as “RFM” (Recency, Frequency, Monetary), are not focused on calendar dynamics and cannot handle calendar data and daily inference for millions of listings. Airbnb's segmentation approach is designed to capture nuances of how a listing is available throughout the month.
- Airbnb uses several features to differentiate between hosts' availability patterns, including nights available, streakiness, quarters with at least one night of availability feature, and maximum consecutive months.
- Airbnb identified eight clusters, including Always On, Short Seasonal, Long Seasonal, Weekend Warriors, Event Motivated, Occasional Summer Hosts, Gap Fillers, and Urban Extended Stays.
- Airbnb uses a decision tree algorithm to classify listings into clusters with if-else rules, which is then translated into a SQL query by converting the decision tree's conditions.
- Various teams at Airbnb leverage these segments, including product, marketing, and UX research teams.
- Airbnb's segmentation methodology has also been adapted to host activity data, differentiating occasional Settings Tinkerers from frequent Settings Optimizers.
- Airbnb's segmentation approach can be adapted to other industries where understanding temporal engagement is essential, such as distinguishing between occasional and frequent users of a service.
- This clustering approach gives Airbnb insights into host behavior patterns and preferences, helping the company improve its platform and provide better services for its customers.
- By understanding host behavior, Airbnb has introduced features that support hosts with different styles, such as seasonal pricing tips, onboarding guides, and tools for managing multiple reservations.
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Medium
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Quitting the Game”? Think Again — CEO Makes a Comeback with the World’s First AI Startup Album
- Open Community is a movement focused on empowering developers and tech enthusiasts through open-source AI-powered projects.
- Their mission is to 'Make AI Uncool Again' and they have a track record of success in hackathons and partnerships.
- CEO Ibrohim Abdivokhidov is launching multiple startups in a unique way, similar to a music album.
- To learn more and join the movement, visit the Open Community website and explore what's next for AI.
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Medium
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How big is the internet?
- The Internet is estimated to grow to about 175 zettabytes by 2025.
- A zettabyte is equivalent to 7 million stacks of dollar bills, each 93 million miles long.
- The total amount of data stored in the cloud is projected to reach 100 zettabytes.
- There should be more discussion on the rapid growth of data production and storage.
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Analyticsindiamag
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Elastic Unveils AI Ecosystem to Simplify GenAI Application Development
- Elastic has launched an AI ecosystem to aid developers in creating Retrieval Augmented Generation (RAG) applications.
- The ecosystem offers AI technologies and tools integrated with the Elasticsearch vector database.
- Integrations with industry leaders such as Alibaba Cloud, AWS, Google Cloud, and Microsoft enable improved retrieval relevance and secure deployment of AI applications.
- The Elastic Search AI Platform integrates search capabilities with AI to support application development and tackle security threats.
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Analyticsindiamag
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Are AI PoCs Worth the Investment or Just Burning Cash?
- Many companies are moving artificial intelligence (AI) Proof of Concepts (PoCs) to production, but industry leaders have contrasting views on whether they are worth the investment.
- AI advisor Vin Vashishta questions the purpose of AI PoCs stating that they do not deliver revenue and cannot be scaled in production.
- Vashishta suggests businesses focus on simpler initiatives that build capabilities and deliver quantifiable results; he advocates for alternative approaches such as leveraging vendor demos and trialling AI tools.
- AI product leader Stefan Ojanen defends PoCs as a critical step in deploying great AI models, arguing that the first iteration is a way to discover advantages.
- Vijay Raaghavan, the head of enterprise innovation at Fractal, sees the transition to real-world applications as presenting new challenges, particularly when it comes to measuring value.
- PoCs test AI solutions within a business's specific environment, uncovering edge cases, and architectural challenges, thereby offering insights that conventional solutions from others might not provide.
- Fabian Leon Ortega, the CTO at SunDevs, views PoCs as stepping stones to innovation that have a real-world application.
- PoCs can be cost-effective when executed strategically and provide valuable insights, but success hinges on clear objectives and alignment with business goals.
- Without clear objectives and alignment with business goals, PoCs have the tendency to become a 'money pit.'
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Analyticsindiamag
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AI PoCs are Waste of Money
- AI PoCs are under scrutiny on whether they represent a wise investment or a mere waste of resources, industry leaders offer contrasting views.
- Vin Vashishta, AI advisor and author of From Data to Profit, is a critic of PoCs in AI and questioned their purpose.
- Vin Vashishta suggests that businesses should focus on simpler initiatives that build capabilities and deliver quantifiable results, rather than sinking money into PoCs that often lack direction or measurable outcomes.
- Stefan Ojanen, an AI product leader and MLOps expert, defends PoCs as a critical step in deploying great AI models.
- Vijay Raaghavan, the head of enterprise innovation at Fractal, believes the transition from PoCs to real-world applications has presented new challenges, particularly when it comes to measuring value.
- Critics claim PoCs rarely deliver scalable value, while proponents emphasise their role in validating innovative AI solutions.
- Industry leaders advocate simpler initiatives, leveraging vendor demos, trialling AI tools, and conducting educational sessions like seminars to introduce AI capabilities to businesses.
- IT giants realised that it was easier to build AI products using their technologies, as it was easier to transition from PoCs to products quickly.
- Without clear objectives and alignment with business goals, PoCs will fail.
- According to some, PoCs test the AI solutions within the business’s specific environment, uncovering edge cases and architectural challenges and reducing the risk of failures during full-scale implementation.
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Analyticsindiamag
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Why Is Microsoft Betting Big on Quantum Computing?
- Microsoft recently announced a partnership with Atom Computing to drive the commercial adoption of quantum technology at the recent Microsoft Ignite 2024 event.
- The duo plans to launch a commercial quantum computer by 2025, which would unlock advancements in areas like chemistry and materials science.
- Microsoft chief Satya Nadella explains that as they make progress on our journey to large-scale quantum computing, they have achieved the most performant logical qubits on record.
- The partnership provides high-performance computing to successfully process the logical qubits, or quantum bits, marking a milestone in the journey to achieve fault-tolerant quantum computing.
- Microsoft is pioneering the development of topological qubits, which are theorised to be more stable and less error-prone than traditional qubits.
- Moreover, by using Azure Quantum, various quantum technologies have been integrated into their cloud-based platform, Azure.
- The race is intense with big tech companies like Google, IBM, and Amazon heading to lead the quantum space.
- The long-term game of quantum computing allows Microsoft to invest in research, partnerships, and quantum education, placing the company as heavy in this field.
- The company's strategy in quantum computing aligns with its broader mission to improving organisations with advanced technology.
- Microsoft aims to secure its position in this highly competitive field by pledging dedication towards quantum technology.
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Dev
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Algorithms Unveiled: Essential Learning Resources for Programmers
- MIT OpenCourseWare offers a comprehensive algorithm course covering fundamental strategies.
- The Text Algorithms resource explores data structures and string matching techniques.
- The JavaScript Algorithms and Data Structures guide focuses on implementing algorithms in JavaScript.
- The Combinatorial Algorithms & Data Structures course offers advanced algorithmic techniques.
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