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Data Science News
Medium
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Data Ethics, Privacy, and the Modern Data Scientist
- Data science is a crucial and growing field in the modern technological landscape.
- However, the rise of big data analytics and potential misuse of personal data reveals pressing ethical and privacy concerns.
- Thus, governments and tech leaders have established new guidelines for accessing and analyzing people’s data that affect data scientists on the frontlines.
- Putting ethical data science into practice in a way that genuinely respects privacy is a major challenge.
- The motto of “Move fast and break things” once encapsulated Silicon Valley’s culture valuing rapid innovation above all else.
- Specialist oversight teams are needed to add oversight roles and refer to written policies to validate obligations around ethics and privacy.
- Organizations must establish just and responsible data protocols, leadership training, and review processes to ingrain ethical cultures from the top down.
- Data scientists need clear ethical rules of thumb combined with nuanced critical thinking abilities to guide moment-by-moment choices.
- Despite present challenges, trends seem hopeful for restoring balance around employing big data to drive positive innovation while respecting human dignity.
- Educational shifts, such as mandated ethics courses, also promise to raise new generations better equipped for the moral dilemmas inherent in advancing data frontiers.
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Analyticsindiamag
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Hey Siri, You There?
- Apple has developed a technique for improving Automated Speech Recognition (ASR) on older devices while reducing computational time.
- ASR systems must identify rare and user-specific words, which the new system tackles through neural context biasing (NCB).
- NCB processing consumes significant computational and memory resources, but Apple's model uses vector quantisation to overcome this.
- Results of the new approach show 20% less processing time and a 71% reduction in errors observed.
- Earlier this year, Apple introduced the DenoisingLM (DLM) to achieve an accurate rate for ASR.
- However, voice assistants like Siri were far from perfect, even with Apple's AI system, especially with certain regions' accents.
- Despite concerns about quantisation loss, Apple's use of finite scaling quantisation (FSQ) to improve ASR is being seen as promising.
- While Apple Intelligence, inclusive of Siri, is ideal, it’s still less mature than competitors, such as Whisper, from the likes of OpenAI.
- Other techniques have been created by Moonshine to reduce computing demands for accurate ASRs.
- Assembly AI’s latest ASR model, Universal-2, also improves proper noun recognition and formatting accuracy.
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Analyticsindiamag
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IIMA Ventures Partners with Google to Support AI Startups
- IIMA Ventures has partnered with Google for Startups to launch the first cohort of AI Academy India 2024.
- The initiative aims to support early-stage AI startups in addressing challenges across sectors such as healthcare, climate, agriculture, education, and financial inclusion.
- The inaugural cohort features 22 startups receiving practical training, expert guidance, access to Google's AI technologies, and up to $350,000 in cloud credits.
- The program will expand to six other cities in India and focuses on human-centered, responsible AI.
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VentureBeat
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Hugging Face’s SmolVLM could cut AI costs for businesses by a huge margin
- Hugging Face has released SmolVLM, a compact vision-language AI model.
- SmolVLM offers a pragmatic solution for businesses, requiring less computing power.
- The model has unprecedented efficiency, using only 5.02 GB of GPU RAM.
- SmolVLM democratizes advanced vision-language capabilities for companies with limited resources.
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Analyticsindiamag
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RedBus Builds Multilingual AI Copilots for Bus Operators, Travellers
- redBus, a leading online bus ticketing platform, has developed an AI copilot for bus operators to enhance their operational efficiency.
- The AI copilot provides real-time, data-driven insights to streamline operations, improve decision-making, and enhance the customer experience.
- redBus offers multilingual support, allowing operators to receive insights in their native language, overcoming language barriers.
- The company is also using generative AI to improve customer interactions and has seen a 40% increase in customer satisfaction scores.
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Analyticsindiamag
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Meet the Indian AI Startup Quietly Taking Over the Enterprise World
- Indian AI startup TWO AI has generated $4 million in revenue and expects $20 million for next year.
- SUTRA, a multilingual online GenAI models of TWO AI has outperformed GPT-4o, Llama 3.1, and Indic LLMs.
- TWO AI launched ChatSUTRA, a ChatGPT-like chatbot, which currently has over 600,000 unique users.
- TWO AI only targets big enterprise customers instead of the consumer market.
- The company is partnering with companies like NVIDIA and Microsoft on the technology front.
- TWO hosted Mukesh Ambani and Akash Ambani at their US office to discuss the evolving role of AI.
- TWO AI's business model focuses on providing high-touch, customised solutions for a select group of large enterprises.
- The company is working on Sutra Predict, a predictive AI model that is trained on a trillion data points and time-series data entries.
- TWO AI has adapted the SUTRA model to work with 1-bit weights, allowing it to run as a lightweight model on CPUs.
- TWO offers hardware options and SUTRA-OP, an offering that provides systems like NVIDIA DGX box.
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Medium
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Unlock 30% Off Surfer’s SEO Power This Black Friday: Don’t Miss Out!
- Unlock 30% Off Surfer’s SEO Power This Black Friday: Don’t Miss Out!
- Surfer is an innovative SEO content optimization platform tailored for marketers and agencies.
- It offers unique features like Topical Maps and AI-generated articles to elevate content strategy.
- Trusted by over 150,000 users in 159 countries, Surfer enables seamless optimization and data-driven decisions.
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VentureBeat
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Alibaba researchers unveil Marco-o1, an LLM with advanced reasoning capabilities
- Alibaba researchers have announced Marco-o1, a large reasoning model(LRM) that applies advanced reasoning techniques to solve open-ended problems.
- Marco-o1 is a fine-tuned version of Alibaba's Qwen2-7B-Instruct and uses techniques such as Monte Carlo Tree Search(MCTS) and Reasoning Action Strategies.
- The model uses MCTS to explore various reasoning paths as it generates response tokens.
- Marco-o1 also uses a flexible reasoning action strategy that allows for adjusting the granularity of MCTS by defining token numbers generated at each node.
- The introduction of a reflection mechanism allows the model to identify potential reasoning errors in its thought process.
- The researchers conducted experiments on several tasks, including multilingual grade school math problems and translated colloquial phrases/slang expressions.
- Marco-o1 significantly outperformed the base Qwen2-7B model, particularly when the MCTS component was adjusted for single-token granularity.
- The model is designed to help with scenarios that require deep contextual understanding and do not have well-defined metrics.
- A partial reasoning dataset accompanies the Marco-o1 release on Hugging Face.
- The open-source community is also catching up with the private model market, releasing models and datasets that take advantage of inference-time scaling laws.
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Medium
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As An Engineering Manager, You’re The Only Bridge Between Two Worlds
- As an Engineering Manager, you are often faced with the challenge of balancing technical quality with the realities of business. Empathy is the cornerstone for building effective communication with both non-technical stakeholders and engineers.
- It's your job as EM to act as the bridge between the technical and non-technical worlds, advocating for the technical realities of engineers’ work and managing engineers to work effectively within the project's scope.
- To navigate this challenge, EMs must actively develop their people skills, such as effective communication, conflict mediation, delegation, and performance evaluation.
- EMs must spend time honing their communication skills to present information clearly and professionally. Effective communication is crucial, including adapting communication to the audience and managing contextual details.
- Conflict is unavoidable but can be mitigated with effective negotiation, tangible advice on this topic can be found in “Getting to Yes: Negotiating Agreement Without Giving In”.
- While you are the bridge, you should delegate task responsibilities between the technical and business sides and avoid overloading personal task lists.
- On the technical side, the ability to communicate technical details with non-technical stakeholders such as project scope, compatibility, and resource availability is crucial.
- On the business side, it is important to manage expectations, including timelines and overall project objectives.
- By investing the time to develop your people skills, as an EM, you can lead successful projects while also developing your business and technical acumen.
- Through these efforts, Engineering Managers develop a strong, common culture that emphasizes mutual respect, aligned goals, and transparency.
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Medium
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Supply Chain Reinvented: How Intelligent AI’s Predictive Technology Drives Operational Mastery
- Intelligent AI World's predictive technology enables companies to shift from firefighting mode to strategic planning.
- Their technology delivers real-time insights that empower businesses to make adjustments on the fly.
- One of their clients, a leading global retailer, anticipated seasonal demand fluctuations, which resulted in a 40% reduction in stockouts and a 25% improvement in delivery times.
- Their technology adapts to specific business needs, ensuring businesses stay a step ahead.
- Intelligent AI World creates technology that is powerful, ethical, and secure, with its core values revolving around integrity, accountability, and their clients' success.
- Clients using Intelligent AI World's predictive technology report an average 30% improvement in efficiency and 20% reduction in costs within the first year.
- Their predictive models continuously learn from clients' data, ensuring an adaptive, intelligent supply chain that is continuously optimized.
- By 2030, AI-driven supply chains are projected to save businesses billions in waste and inefficiency.
- Their predictive tools can transform supply chains to be proactive, precise, and perfectly aligned with clients' business goals.
- Intelligent AI world's commitment to innovation and integrity create a partnership dedicated to building the future of supply chains, with smarter, safer, and more effective supply chains than ever before.
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Medium
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433
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Elon Musk’s Tesla is poised to revolutionize the robotics industry with the introduction of its…
- Tesla's Optimus robot is set to revolutionize the robotics industry.
- Optimus is 5 feet 8 inches tall, weighs 125 pounds, and has a 2.3 kWh battery pack.
- It has applications in aged care, manufacturing, agriculture, and domestic assistance.
- The introduction of Optimus raises economic implications and challenges in safety, ethics, and regulation.
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Medium
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XBanking represents a significant leap forward in DeFi innovation
- XB token offers a groundbreaking investment model that merges the benefits of stock ownership with the advantages of cryptocurrency.
- XB token holders receive a share of the platform's profits in cryptocurrency instead of conventional dividends, providing instantaneous and automatic dividend payments.
- Simply holding XB tokens allows investors to earn regular cryptocurrency dividends, creating a steady revenue stream without active trading or portfolio management.
- XBanking prioritizes revenue generation and equitable distribution among XB token holders, offering reliable earnings through its diversified income sources in the DeFi space.
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Analyticsindiamag
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Anthropic Claude Now Lets You Chat with Your Google Docs
- Anthropic has released a new feature for Claude.ai that integrates Google Docs with the AI chatbot.
- Users can add Google Doc files in a chat or project, allowing Claude to access the content and generate contextual outputs.
- The update also introduces output style options and custom styles to adapt to different writing preferences.
- Anthropic recently raised $4 billion from Amazon Web Services in another funding round.
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Medium
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The Rise of AI in Movie Production: Revolutionizing the Film Industry
- AI is revolutionizing filmmaking, transforming every aspect of movie production.
- AI tools like OpenAI's models and Sudowrite are speeding up scriptwriting process by generating ideas and suggesting story arcs.
- AI is being used in film editing to enhance visual effects and create realistic CGI.
- Ethical concerns arise around AI-generated content and its impact on human creativity and employment in the film industry.
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Analyticsindiamag
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Why Companies are Quitting Kubernetes
- Gitpod, a development platform, has decided to shift its focus to home-grown tools to quit Kubernetes. The standardised, and automated development environment solution plans to transition to a custom-built solution called Flex. Kubernetes often pushed the team to reverse-engineer solutions for unique challenges. Even managed services like GKE and EKS added restrictions that complicated operations. The Gitpod team noted that Kubernetes continues to be a “fine choice” as long as you are running application workloads. In contrast, Google Cloud Run provided a simpler and cost-effective alternative with features like rapid autoscaling, pay-per-use pricing, etc.
- The Kubernetes ecosystem is filled with unnecessary add-ons and tools often introduces more complexity than utility, creating a bloated and fragile infrastructure that is harder to maintain. These lead to vendor lock-in, reducing flexibility and driving up costs. Okteto uses customised BuildKit service with file synchronisation to streamline builds and deployments. They ensure development closely mirrors production without compromising feedback loops. Okteto also provides separate Kubernetes clusters for each company and supports multi-cluster setups to address scalability challenges.
- The promise of Kubernetes was never about building for developer environments, according to Pablo Chico de Guzman, CTO of Okteto. Similar to what Murli Thirumale from Pure Storage said, Okteto's custom Resource Manager predicts CPU and memory needs by analysing identical services across environments, optimising resource allocation to enhance cluster performance and developer experience. In a discussion on Hacker News, developers from different companies cited several reasons for Kubernetes being cumbersome. The main reasons remain the complex learning curve, maintenance inefficiency, vendor lock-in, overuse, and the mismatch between needs and scale.
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