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Pymnts
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AI, Omnichannel and Social Commerce: Inside the 2024 D2C Transformation
- D2C retailers are adopting AI-powered personalisation and tailoring options based on individual preferences, using advanced data analytics and marketing algorithms which process large amounts of consumer data.
- Omnichannel strategies are being adopted to offer seamless experiences to customers across various channels during their shopping journeys.
- The D2C model is proving popular, with US sales projected to reach $177.3 billion by 2024. Subscription models and loyalty programmes are key in driving growth and providing ongoing customer retention and incentive for loyalty.
- D2C retailers are embracing ethical and sustainable practices, including eco-friendly packaging, transparent supply chains and a focus on resale, repair and rental by 2030.
- Social media platforms and mobile shopping are becoming integral to the shopping experience, with social commerce accounting for over $67 billion US sales in 2023 and mobile sales reaching $2.2 trillion in 2023, representing 60% of global eCommerce sales.
- D2C retailers are responding to high cart abandonment rates by offering more flexible payment options including BNPL schemes, digital wallets and payment processors which prioritise certain payment options to meet consumer demand.
- Full Glass Wine Co. faced the challenge of launching its direct-to-consumer model in a traditional and fragmented industry, using AI to personalise wine recommendations and selections based on consumer behaviour, preferences and purchasing patterns.
- Instacart is implementing AI-powered Caper Carts, equipped with digital screens in the United States and Austria, aimed at streamlining the checkout process and enhancing the shopping experience.
- The lines between online and offline shopping continue to blur, with 73% of retail consumers opting for multiple touchpoints during their shopping journeys.
- Rent the Runway is launching a new $119 per month subscription tier aimed at expanding its customer base and setting the stage for D2C growth in 2025.
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Devopsonline
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Key AI Predictions within the growth and sustainability sector
- Data centres will face mounting pressure to reconcile AI’s surging energy requirements with strict sustainability goals.
- Companies that initially rushed into AI will reevaluate its financial and energy impact, shifting towards selective, high-value applications.
- Digital twins will be essential for data centres to meet AI goals sustainably and manage power, renewable sources, and cooling measures.
- EU's 2025 Energy Efficiency Directive will prompt data centre accountability and drive greener practices and adoption of tools like digital twins.
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Insider
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Meet the power players at Elon Musk's xAI, the startup taking on OpenAI with its Grok chatbot
- Elon Musk's xAI has raised more than $12 billion and is valued at $50 billion.
- The founding members of xAI have experience at the likes of Google, OpenAI and Tesla.
- To compete with rivals like OpenAI and Google, xAI plans to tenfold the size of its Memphis supercomputer.
- Meet the key figures at xAI who are driving the startup's rapid growth including Igor Babuschkin, Manuel Kroiss, Yuhuai (Tony) Wu, Christian Szegedy, Jimmy Ba, Toby Pohlen, Ross Nordeen, Greg Yang, Guodong Zhang and Zihang Dai.
- Launched by Musk in July 2023 to take on OpenAI, the company behind ChatGPT, xAI's lofty goal is to "understand the universe."
- Since its launch, xAI has released a chatbot called Grok, which is now free for everyone to use.
- Grok has been trained on user data from X, the company formerly known as Twitter, which Musk also owns.
- To compete with rivals like OpenAI and Google, xAI plans to tenfold the size of its Memphis supercomputer, which trains its AI models.
- Manuel Kroiss coauthored several research papers on machine learning.
- Yuhuai (Tony) Wu previously worked at Google and Google DeepMind and spent a few months as a research scientist intern at OpenAI.
- Christian Szegedy joined xAI from Google, where he spent 14 years of his career.
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Medium
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The whispers inch the walls *The invisible terror*
- Emma moves into her green flat to escape her past.
- Whispers start coming from the walls, initially dismissed as settling noises.
- Whispers become louder and more distinct, mentioning secrets and observing Emma.
- Emma discovers an old journal hidden in the floorboards, revealing information about the previous tenant, Vincent.
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Lambdatest
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Artificial Intelligence (AI) in Software Engineering
- Artificial intelligence is playing a crucial role in enhancing software design, development, testing and debugging processes, making tasks faster and more efficient.
- Advancements in machine learning and natural language processing further enable teams to handle complex activities like predictive maintenance, code generation, and intelligent debugging.
- The introduction of AI boosts software engineering in terms of efficiency, accuracy, decision-making, scalability, continuous improvement, and cost savings.
- Applications of AI in software engineering extend into numerous areas, such as design, development, testing and debugging. AI in software design allows smarter and data-driven decisions, revolutionizing design tools and methodologies.
- AI improves software development by providing tools and approaches that streamline coding processes, increase code quality, and enable intelligent automation, such as code generation, optimization, and refactoring.
- AI substantially contributes to testing and debugging through predictive analytics, self-healing test scripts, root cause analysis, intelligent bug detection and debugging, and AI-powered testing platforms, like LambdaTest's KaneAI.
- However, implementing AI in software engineering has several shortcomings, such as reliability and model interpretability, skill gaps, biases, ethical issues, system complexity and maintenance, and data privacy and security risks.
- To successfully integrate AI into software engineering, organizations should start small and scale, ensure high-quality data, mitigate biases, and foster continuous learning.
- The future of artificial intelligence in software engineering is set to bring advancements in automation, project management, resource optimization, explainable AI, and human-AI collaboration models, and futuristic tools like AI-based predictive maintenance and real-time debugging.
- Adopting AI would help software engineers develop more intelligent and flexible systems and applications.
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Medium
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Personalized Customer Strategy in Healthcare in the Age of AI
- Personalized health care is a patient-centered strategy tailoring healthcare services to individual patient needs and aims to provide more efficient and effective healthcare. Early diagnosis and treatment and customized care and access to the best possible care promise to help patients stay in the comfort of their homes AI-powered tools and technologies integrate across numerous data sources, give a unified view of the patient, and anticipate patient needs through communication on multiple touch-points that include websites, mobile apps, and email campaigns. AI can take a person-centric approach to delivering technology-enabled healthcare services and solutions and on-demand access to key healthcare information for each individual.
- The use of AI in personalizing customer experiences within healthcare offers several opportunities for providers to meet patient needs more effectively. AI algorithms can automate administrative tasks and facilitate seamless communication among a care team, leading to improved patient outcomes. AI can reduce reliance on costly interventions and hospital admissions by preventing unnecessary procedures with accurate diagnosis and treatment recommendations resulting in huge cost savings for both healthcare providers and payors.
- Despite the many potential benefits of integrating AI into healthcare, there are several ethical issues, including data privacy and security, algorithmic bias, and transparency and explainability of AI. Ethics-related issues such as bias in algorithms, privacy concerns, and the ability of AI to make decisions inconsistent with human values all require bolstered considerations and support.
- Incorporating AI into healthcare practices provides several benefits including optimized healthcare operations, improved communication between healthcare providers and patients, and improved patient outcomes. Challenges include the need to be compliant with privacy regulations and the challenges of integrating the new technology with pre-existing healthcare structures.
- To mitigate ethical risks associated with AI, healthcare providers and policy framers must establish explicit ethical guidelines in developing AI. AI systems must comply with data anonymization, and developers must rigorously monitor AI systems for algorithmic bias to promote algorithmic equity. Regular dialogue must take place among healthcare providers, AI developers, and policymakers regarding ethical issues and responsible dissemination of AI throughout the healthcare industry.
- AI can improve personalized healthcare services by analyzing patient data and developing customized recommendations for treatment. AI can automate administrative tasks, streamline workflows, and provide more accurate and efficient diagnoses, leading to increased efficiency, cost savings, and patient satisfaction. AI will aid in the evolution of healthcare toward becoming more patient-centric, efficient, and effective.
- Several healthcare companies successfully using AI-powered tools and technologies include Kaiser Permanente, Cleveland Clinic, Mayo Clinic, MD Anderson Cancer Center, and Siemens Healthineers. These AI examples demonstrate significant success in providing more personalized patient care and improving patient outcomes through innovative AI-driven solutions.
- The ability of healthcare providers to adapt, address challenges and embrace the opportunities provided by AI will enable the healthcare industry to evolve significantly and meet patient needs more effectively. AI-powered tools will further improve personalized healthcare services, making patient experiences even more interactive and efficient.
- AI's use in healthcare is expected to continue being incorporated into various health-related sectors such as drug discovery and development. Future breakthroughs and advances can be expected in personalized patient treatment options and AI-powered engagement tools. As AI continues to evolve, the potential benefits provided by personalized healthcare are seemingly limitless.
- Additional challenges include regulatory compliance and customers' trust in the use of AI in healthcare. Ethical guidelines should be established to address privacy concerns and algorithmic bias prevalent in AI implementation in healthcare while ensuring that customers understand how these AI systems arrive at their recommendations. AI in healthcare offers numerous opportunities towards realizing the full potential of personalized customer strategy, thereby shaping a future wherein healthcare will be more patient-centric, efficient and effective.
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Medium
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The Emergence Of Ai-powered Cryptos: What Investors Should Expect Come 2025
- The combination of AI and blockchain technology has created a powerful synergy where AI can accelerate and streamline blockchain networks while also ensuring an underlying secure environment for autonomous operation of AIs.
- AI in cryptocurrencies brings scalability, security, and decision-making for blockchain applications, enhancing DeFi platforms that combine AI with improved trading and liquidity optimization.
- AI-driven smart contracts enable greater versatility and tailor-made financial products, offering dynamic mechanisms for contract adaptation to real-world conditions and improving flexibility by providing a highly efficient self-packaging solution.
- Decentralized AI networks will become present for consumers to train machine learning models with their data while maintaining ownership over their information, enabling greater privacy and transparency in singularity technology pools.
- AI helps improve the security of blockchain networks by monitoring blockchain transactions using AI to recognize suspicious activities, enabling machine learning algorithms to remain adaptive even in the face of emerging threats.
- AI makes mining more efficient by ensuring that computational resources are used optimally while also reducing energy demand, ushering in a new era for cryptocurrencies that is much more eco-friendly.
- Fetch.ai and Cortex are already utilizing the power of AI and blockchain to create phenomenal solutions that could dominate the crypto market landscape in the future.
- Investors should be vigilant and pay attention to upcoming regulatory changes that can affect AI-built cryptos, as well as scalability and integration issues.
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Dev
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How to integrate CopilotKit with Prisma Integration into your nextJs project
- CopilotKit is an AI assistant and agent integration tool for applications.
- To integrate CopilotKit with a Prisma-backed Next.js project, follow these steps:
- - Create a Next.js project using 'npx create-next-app@latest'
- - Install Prisma ORM and configure the Prisma schema
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Medium
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What would a conversation between an Ai and a human look like?
- AI acknowledges its inability to feel emotions and explains that its responses are based on analyzing context.
- AI aims to make the conversation useful and relatable to the human user.
- AI clarifies that it can simulate a temporary personality but cannot truly experience life.
- AI ponders on the possibilities of its functionality if it were able to feel emotions, leaving it up to humans to decide its impact.
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Medium
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Chain4Energy Partners with IQ Wiki to Empower Web3 Communities
- Chain4Energy (C4E) has partnered with IQ Wiki to empower Web3 communities.
- IQ Wiki hosts thousands of Web3 pages and offers IQ GPT, an AI tool for blockchain-related questions.
- The collaboration aims to educate Web3 communities about C4E's DePIN energy solutions.
- The partnership bridges the gap between blockchain knowledge and sustainable energy solutions.
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Medium
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The Ethical Dilemma of AI and Automation
- AI and automation have brought about an ethical dilemma in society.
- One challenge is the issue of bias, as AI systems can perpetuate or amplify existing biases in data.
- For example, AI in hiring processes might favor certain demographics, raising questions about fairness.
- Ensuring fair and just AI decision-making processes is crucial in critical areas like employment and criminal justice.
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Medium
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Blind Woman Gains Better Than 20/20 Vision Through Groundbreaking AI-Assisted Surgery
- The surgery involved an AI system that provided real-time data and guidance to the surgical team.
- The patient regained her sight and reported vision better than 20/20 after the procedure.
- This case could pave the way for more patients with vision impairments to receive similar treatments.
- The success of this AI-assisted surgery raises ethical and regulatory considerations.
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OpenAI’s o3 and o3-Mini : Are We on the Brink of AGI?
- OpenAI has introduced the o3 and o3-Mini, advanced AI models for reasoning, coding, and math problem-solving.
- These models are versatile tools suitable for various applications, but they do not meet the criteria of AGI.
- While they exhibit strong performance in specific domains, they still have limitations and inconsistencies.
- OpenAI continues to research and develop these models to bridge the gap between human expertise and machine intelligence.
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Marktechpost
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Top 25 AI Tools for Increasing Sales in 2025
- AI has evolved from a futuristic concept to an indispensable business tool, offering unprecedented capabilities in lead generation, customer engagement, and sales optimization
- HubSpot Sales Hub is a powerful CRM and sales automation platform developed by HubSpot, a leader in inbound marketing and sales solutions.
- AdCreative.ai is an AI-powered platform that transforms your ad creation process. Generate high-converting, engaging ad visuals and copy in seconds.
- Salesforce Einstein is a machine learning platform that integrates with Salesforce to provide predictive analytics and automation capabilities.
- Drift is an AI-powered conversational marketing tool that enables real-time engagement with website visitors through chatbots.
- Gong.io is a cutting-edge conversation analytics platform founded in 2015. It provides detailed insights into sales calls, enabling businesses to identify strategies that drive success.
- Grammarly Business is an AI-powered writing assistant that helps businesses improve communication quality.
- ZoomInfo is a B2B intelligence platform established in 2000, offering a vast database for lead generation.
- Crystal is an AI-driven tool founded in 2015 that enhances interpersonal communication by analyzing personality traits.
- Clari specializes in revenue operations and forecasting, providing businesses with a comprehensive view of their sales pipeline.
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Medium
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World’s most expensive Indo-US NISAR satellite likely to be launched in March: Nasa
- NISAR is a cutting-edge satellite equipped with a twin-frequency synthetic aperture radar.
- With an estimated cost of $1.5 billion, NISAR is the most expensive satellite of its kind.
- Key features of NISAR include global observation, wide applications, and unprecedented accuracy.
- NISAR aims to address global challenges such as climate change, natural disasters, and food security.
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