A naukri.com initiative
Data Science News
Educba
1M
54
Image Credit: Educba
Industries Using Virtual Assistant Services
- Businesses in various industries are increasingly leveraging virtual assistant services to enhance efficiency and reduce costs.
- Key industries benefiting from virtual assistant outsourcing include real estate, e-commerce, healthcare, finance, legal services, digital marketing, and consulting.
- In real estate, virtual assistants help with property listings management, client communication, and appointment scheduling, leading to improved productivity and client relations.
- E-commerce businesses rely on VAs for order management, inventory control, customer support, and product listing optimization, facilitating smoother operations and scalability.
- Healthcare VAs assist in appointment scheduling, patient follow-ups, medical billing, and handling calls, enabling healthcare professionals to focus more on patient care.
- In the finance sector, virtual assistants aid in bookkeeping, client scheduling, managing invoices, and maintaining data confidentiality, allowing financial professionals to focus on strategic services.
- Legal services benefit from VAs for document management, legal research, and client follow-ups, helping law professionals stay organized and focused on cases.
- Digital marketing agencies use VAs for content creation, social media management, and marketing tool handling, ensuring consistent online presence and freeing up marketers for strategic tasks.
- Consultants and coaches leverage virtual assistants for client management, market research, and online course coordination, enabling them to deliver high-value insights and coaching services.
- By outsourcing administrative tasks to virtual assistants, businesses across diverse sectors can streamline workflows, enhance customer satisfaction, and concentrate on core operations.
Read Full Article
3 Likes
Analyticsindiamag
1M
419
Image Credit: Analyticsindiamag
How Krutrim Built Chitrarth for a Billion Indians
- Ola's Krutrim AI Lab introduces Chitrarth, a multimodal Vision-Language Model (VLM) aiming to democratize AI accessibility for over a billion Indians.
- Chitrarth supports ten predominant Indian languages and was built using Krutrim's multilingual LLM as its backbone, ensuring high accuracy in understanding and generating content.
- Chitrarth excels in tasks such as image captioning, visual question answering, and text-based image retrieval, making it suitable for education, accessibility, and digital content creation.
- Krutrim AI Lab plans to deploy India's first GB200 supercomputer, scale it into the largest supercomputer in the nation, and invest significantly in AI development.
Read Full Article
25 Likes
Medium
1M
136
Image Credit: Medium
Data Analysis Trends: Shaping the future of Decision making
- Artificial Intelligence (AI) and Machine Learning (ML) Integration: The increasing adoption of AI and ML in data analysis has revolutionized the way we identify patterns, predict outcomes, and make decisions.
- Cloud-Based Data Analytics: Cloud computing has transformed the data analysis landscape, offering unparalleled scalability, flexibility, and cost-effectiveness.
- Data Storytelling and Visualization: Data storytelling and visualization have become essential skills for data analysts, enabling them to present complex data insights in a clear, concise, and actionable manner.
- Real-Time Data Analytics: The increasing demand for real-time insights has given rise to real-time data analytics, enabling organizations to respond promptly to changing market conditions, customer needs, and operational requirements.
Read Full Article
8 Likes
Analyticsindiamag
1M
123
Image Credit: Analyticsindiamag
Tencent Releases Hunyuan Turbo S to Rival DeepSeek as Competition Heats up in China
- Tencent has released its new AI model, Hunyuan Turbo S, to compete with DeepSeek-R1 in the Chinese market.
- Hunyuan Turbo S offers faster query responses and efficient problem-solving through its hybrid-mamba-transformer fusion architecture.
- The model is priced at 0.8 yuan per million tokens for input API and 2 yuan per million tokens for output.
- Competition in China's AI ecosystem intensifies as Alibaba introduces Qwen QwQ-Max and DeepSeek plans to release DeepSeek R2.
Read Full Article
7 Likes
Medium
1M
202
Image Credit: Medium
Data Science Or Artificial Intelligence: What Comes First?
- At the heart of every AI system lies Data Science, which focuses on collecting, processing, and analysing data to extract meaningful insights.
- Machine Learning (ML) is a part of Data Science. ML algorithms use structured data to learn patterns, make predictions, and automate decision-making processes.
- AI goes beyond pattern recognition and prediction, aiming to mimic human intelligence through advanced techniques such as Deep Learning, Neural Networks, and NLP.
- While AI relies on Data Science, it also enhances and automates many Data Science workflows, improving data cleaning, model selection, and insight generation.
Read Full Article
12 Likes
Analyticsindiamag
1M
41
Image Credit: Analyticsindiamag
Snowflake to Create a ‘Silicon Valley AI Hub’, Invest $200 Million to Back Startups
- Cloud-based data storage company Snowflake plans to open the Silicon Valley AI Hub, a dedicated space for collaboration and development in the field of artificial intelligence.
- The hub, located in Menlo Park, California, will provide various spaces for the AI ecosystem including a startup hub, training rooms, and event spaces.
- Snowflake will invest $200 million to support AI-based startups through its Snowflake Startup Accelerator and offer technical assistance, free credits, and access to additional capital.
- Additionally, the company plans to invest $20 million in AI upskilling to train and certify more users on their platform.
Read Full Article
2 Likes
Medium
1M
323
Image Credit: Medium
When Late-Night Channel Surfing Turns Terrifying
- Alex experiences a terrifying encounter while channel surfing late at night, facing a whispering voice in the television static revealing unsettling truths about his fears and reality.
- The encounter escalates as Alex sees a shadowy figure in the static form, resembling him, in a nightmarish scenario where the figure reaches out to a sleeping version of himself on the bed in the static room.
- Despite the unsettling experience, Alex tries to rationalize it as a hallucination until strange occurrences, like a tall figure in his kitchen and a cold remote reappear, intensifying the unsettling atmosphere.
- As the whispering voice returns and the static manifestations become more vivid, Alex becomes engulfed in a nightmarish reality between worlds, realizing he is now part of the static world.
- The story ends with an eerie realization as Alex's reflection flickers like static and the whisper welcomes him to his new home in the world of the static, leaving him lost in the darkness forever.
Read Full Article
19 Likes
Analyticsindiamag
1M
346
Image Credit: Analyticsindiamag
Physical Intelligence Launches ‘Hi Robot’, Helps Robots Think Through Actions
- Physical Intelligence has launched Hierarchical Interactive Robot (Hi Robot), a system that helps robots process complex instructions and feedback in a hierarchical structure.
- Hi Robot breaks down intricate tasks into simpler steps, similar to how humans reason through complex problems using 'System 1' and 'System 2' approaches.
- Researchers used synthetic data to train Hi Robot, pairing robot observations with hypothetical scenarios and human feedback, achieving a 40% higher instruction-following accuracy than GPT-4o.
- Hi Robot allows robots to 'talk to themselves' and interpret user contextual comments, enabling real-time feedback and adjustment of actions.
Read Full Article
20 Likes
Educba
1M
400
Image Credit: Educba
AI in Travel Booking
- Artificial Intelligence (AI) is revolutionizing the travel industry by enhancing efficiency and accuracy in booking processes.
- AI-powered tools streamline operations, reduce errors, and offer personalized experiences for travelers and service providers.
- The integration of AI in travel booking ensures users receive accurate recommendations and minimizes risks like double bookings and pricing discrepancies.
- AI-driven platforms simplify booking for hotels and flights, enhancing accuracy while reducing manual effort.
- AI provides personalized travel recommendations based on user preferences, improving customer satisfaction and reducing search time.
- AI uses historical data to predict price trends, enabling travelers to make informed decisions and book cost-effectively.
- AI chatbots offer 24/7 support, automate booking management, enhance security through fraud detection, and aid in efficient itinerary planning.
- AI-powered voice assistants and optimized flight scheduling improve the overall travel experience by adding convenience and efficiency.
- AI-driven hotel matching ensures travelers find ideal accommodation options based on their preferences and budgets.
- The future of AI in travel booking will introduce more automation, hyper-personalized experiences, predictive analytics, and enhanced security measures.
Read Full Article
24 Likes
Medium
1M
355
Image Credit: Medium
The Future of Intelligence: How Computer Vision is Transforming the World
- Computer Vision is a transformative field in artificial intelligence, allowing machines to interpret visual data accurately and rapidly.
- It combines disciplines like AI, deep learning, and image processing to reshape industries and interactions with technology.
- The field started in the 1960s and advanced with neural networks and deep learning in the 2010s.
- Key steps in Computer Vision include image capture, enhancement, feature extraction, classification, and decision-making.
- Challenges include biased training data, computational requirements, and ethical concerns around privacy and surveillance.
- Deep learning, especially CNNs, has revolutionized image analysis by automatically learning features.
- Edge detection, image segmentation, and feature matching are fundamental techniques in Computer Vision.
- GPU and cloud computing advancements have made high-resolution image processing more efficient.
- Self-supervised learning, quantum computing, and neuromorphic engineering are expected to shape the future of Computer Vision.
- Applications include healthcare diagnostics, autonomous vehicles, retail automation, and security surveillance.
Read Full Article
21 Likes
Appsilon
1M
273
Image Credit: Appsilon
Open-Source Adoption in Pharma: Opportunities and Challenges
- Open-source tools are gaining traction in the pharmaceutical industry with companies like Roche, Novo Nordisk, GSK, and Pfizer contributing to open-source repositories.
- Pharma is moving towards open-source tools like R due to benefits such as customization, integration capabilities, collaboration, rapid statistical advancements, and cost reduction.
- Challenges in adopting open-source tools in pharma include regulatory compliance, security, long-term maintenance, system integration, skill gaps, and change management.
- Key considerations for pharma leaders adopting open-source include building skills, fostering a supportive culture, and strategic planning.
- Roche's successful use of open-source tools in clinical trial data management and analytics, with tools like {admiral}, {teal}, and {rtables}, exemplifies effective integration.
- Pharmaceutical companies should focus on talent development, measuring ROI, strategic implementation, and active engagement in the open-source ecosystem when adopting open-source solutions.
- By strategically incorporating open-source tools, pharma companies can enhance efficiency, reproducibility, and cost savings in areas like data analysis and regulatory submissions.
- Successful open-source adoption in pharma requires a well-planned strategy aligning with both short-term goals and long-term vision for sustained benefits.
- Open-source adoption presents immediate benefits and long-term value in pharma, emphasizing the importance of a structured approach for success.
- The article was originally published on appsilon.com/blog, exploring the opportunities and challenges of open-source adoption in the pharmaceutical industry.
Read Full Article
16 Likes
Medium
1M
341
Image Credit: Medium
The Future of Money: How Cryptocurrency is Reshaping the Global Economy
- Cryptocurrency has transformed the financial landscape by offering a decentralized, secure, and transparent alternative to traditional banking systems.
- Bitcoin, introduced in 2008, kickstarted the cryptocurrency revolution with its blockchain technology and peer-to-peer transactions.
- Blockchain technology ensures the integrity and transparency of cryptocurrency transactions through a decentralized ledger system.
- Altcoins like Ethereum, Ripple, and Litecoin have introduced unique features such as smart contracts and faster transaction speeds to improve upon Bitcoin's limitations.
- Stablecoins pegged to traditional assets provide price stability and reduce volatility concerns associated with cryptocurrencies.
- Cryptocurrency offers benefits like lower transaction costs, faster cross-border payments, and financial inclusion for the unbanked population.
- Governments and financial institutions grapple with regulatory uncertainty, security threats, and market volatility in the cryptocurrency space.
- Cryptocurrency's decentralized nature challenges traditional banking systems, introduces new economic models, and reshapes global markets and policies.
- Central Bank Digital Currencies (CBDCs) are being explored by governments to combine blockchain technology with the stability of traditional fiat currencies.
- Cryptocurrency's impact on international trade, banking, employment, and global wealth distribution is significant and continues to evolve.
Read Full Article
20 Likes
Medium
1M
168
Image Credit: Medium
Neural Networks for Stock Prediction: How LSTMs & GNNs Transform Investment Strategy
- Neural networks are transforming stock prediction strategies through advanced technology.
- Investors are utilizing deep learning models to analyze stock trends for more accurate predictions and improved market timing.
- The application of LSTM and GNN models are gaining traction in stock prediction.
- These advancements offer investors a smarter way to navigate the financial markets.
Read Full Article
10 Likes
Analyticsindiamag
1M
419
Image Credit: Analyticsindiamag
Meta Introduces Aria Gen 2, Its Next-Gen AI Research Glasses
- Meta has introduced Aria Gen 2, its latest research glasses for AI, robotics, and machine perception.
- Aria Gen 2 includes better sensors, on-device AI processing, and improved usability.
- The glasses offer features such as RGB camera, SLAM cameras, eye-tracking cameras, and spatial microphones.
- Meta is set to host LlamaCon, its first-ever AI-focused developer conference, scheduled for late April.
Read Full Article
25 Likes
Analyticsindiamag
1M
195
Image Credit: Analyticsindiamag
Zasper Receives ₹9 Lakh Grant from Zerodha, FOSS United for IDE Development
- Zasper, an open source alternative to JupyterLab, has received a ₹9 lakh grant from Zerodha and FOSS United.
- The grant will support the full-time development and improvement of the Zasper IDE over the next six months.
- The focus of the project will be on improving the user experience, platform support, documentation, performance, and creating advanced features and extensions.
- Zasper creator, Prasun Anand, expresses gratitude towards FOSS United and believes the grant program will encourage more FOSS projects in India.
Read Full Article
11 Likes
For uninterrupted reading, download the app