Tiffany Janzen’s Post

🚀 YoctoIT: Discover the Latest Innovations in Storage Technology! 🚀 YoctoIT is excited to share the latest breakthroughs in storage technology, designed to meet the evolving needs of businesses in today's data-driven world. Here are the key updates: 🔍 What's New in Storage: 1. Hyper-Scalability: * Elastic Storage Systems: Effortlessly scale storage capacity to accommodate expanding data volumes, ensuring seamless performance even during peak usage. 2. Advanced Security Protocols: * Quantum-Resistant Encryption: Implement multi-layer encryption techniques that provide robust protection against emerging security threats and ensure compliance with industry regulations. 3. Unmatched Performance: * NVMe over Fabrics (NVMe-oF): Experience ultra-low latency and high throughput, drastically improving data access speeds and processing efficiency. 4. AI-Driven Analytics: * Real-Time Data Processing: Enhance your AI and machine learning capabilities with real-time analytics, enabling faster and more accurate decision-making. 5. Seamless Cloud Integration: * Hybrid and Multi-Cloud Support: Integrate your data seamlessly across on-premises, hybrid, and multi-cloud environments, ensuring data mobility and operational flexibility. 6. Optimized Data Efficiency: * Advanced Compression and Deduplication: Maximize your storage efficiency with cutting-edge data reduction techniques, reducing storage costs while managing large datasets effectively. Join us in leveraging these innovative storage solutions to transform your data management strategies, ensuring top performance, security, and scalability for your business. #YoctoIT #StorageInnovations #DataManagement #CloudIntegration #AI #DataSecurity #TechUpdate

#snsinstitutions #snsdesignthinkers #designthinking "The Evolution and Impact of Information Technology" Information technology (IT) has revolutionized the way we live, work, and communicate. From its humble beginnings to its current pervasive influence, IT has reshaped industries and societies worldwide. Early Beginnings: The origins of information technology can be traced back to the development of early computing machines in the mid-20th century. These large, cumbersome devices laid the foundation for what would become a rapidly advancing field. Initially used for basic calculations, these machines evolved into more sophisticated systems capable of processing vast amounts of data. Rapid Advancements: The digital revolution of the late 20th century propelled IT forward at an unprecedented pace. The invention of microprocessors, the internet, and personal computers transformed how information was stored, processed, and accessed. Communication became instantaneous, and the global economy shifted towards a digital paradigm. Internet and World Wide Web: The internet revolutionized communication and commerce by connecting people and businesses worldwide. The World Wide Web (WWW) introduced in 1991 by Tim Berners-Lee, enabled easy access to information through a user-friendly interface. Cloud Computing: This technology allows users to access computing resources (like storage and processing power) over the internet. It has democratized IT infrastructure, enabling businesses of all sizes to scale operations efficiently. Big Data: The proliferation of data from various sources has led to the rise of big data analytics. Organizations now use sophisticated tools to analyze large datasets for insights that drive decision-making and innovation. Artificial Intelligence (AI) and Machine Learning (ML): AI and ML have revolutionized IT by enabling machines to learn from data and perform tasks that traditionally required human intelligence. Applications range from virtual assistants to predictive analytics. The impact of IT on society has been profound: Communication: Instant messaging, social media, and email have transformed how we interact and share information globally. Education: Online learning platforms provide accessible education to people worldwide, breaking down geographical barriers. Cybersecurity: The interconnected nature of IT systems increases vulnerability to cyberattacks and data breaches. Digital Divide: Disparities in access to IT infrastructure and skills create a digital divide between regions and socioeconomic groups. Conclusion Information technology has become an integral part of modern life, driving innovation across sectors and connecting people globally. As technology continues to advance, its impact on society will continue to grow, presenting both opportunities and challenges for individuals, businesses, and governments alike.

Industry 4.0 continues to evolve and with it, engineering teams are under pressure to deliver more analyitcs, #AI and #machinelearning capabilities. To meet the growing needs of their businesses, engineering teams are relying on Edge Computing to build resilient capabilities that meet current demands whie also futureproofing the business. We have created a whitepaper to showcase how you can employ Edge Computing to accelerate design, development and delivery. You will learn how to: ▪️ Enhance reliability with Edge Computing ▪️ Create repeatability for provisioning smart machines ▪️ Enable remote operations backed by robust cybersecurity ▪️ Create new revenue streams with a machine-as-a-service model Download the whitepaper from the link in the comments and see how you can build faster with Edge Computing.

🚀 Exciting news! The adoption of AI-led edge computing technology is on the rise, with spending projected to reach $350 billion soon. This innovative technology offers a multitude of benefits, including faster processing, reduced latency, improved security, and cost efficiency. For CFOs and senior executives, understanding the potential ROI and cost-saving opportunities of implementing AI-led edge computing is essential for strategic decision-making and resource allocation. By leveraging this cutting-edge technology, companies can enhance operational efficiency and drive innovation across industries. Are you ready to explore the possibilities of AI-led edge computing for your organization? Let's embrace the future together! #AI #EdgeComputing #Innovation #Technology #FutureReady 💡🔗

💡 Myth Buster: The future of technology is uncertain and challenging for industries. 🌐 🔍 Fact Check: - 📈 𝗚𝗿𝗼𝘄𝘁𝗵 𝗘𝘅𝗽𝗲𝗰𝘁𝗮𝘁𝗶𝗼𝗻𝘀: The tech industry is predicted to experience modest growth in 2024, driven by increased spending on AI, cloud computing, and cybersecurity software and services. - 🔬 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗙𝗼𝗰𝘂𝘀: To stay ahead, tech companies should prioritize innovation by leveraging cloud, AI, and cybersecurity. Reasoning: - 🌱 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝗨𝗻𝗰𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝘆: Fostering collaboration between research and industry, updating R&D plans, and enhancing regulatory frameworks can help navigate the uncertain future of tech. - 💡 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: Rapid scaling of generative AI presents vast opportunities for growth and innovation. Insights: - 📈 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼-𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁: A balanced portfolio of emerging and established technologies can drive sustainable growth and innovation. - ⚛️ 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴: Quantum computing holds immense value creation potential across industries, with projected gains of up to $1.3 trillion by 2035. - ⚙️ 𝗔𝗜 𝗧𝗿𝗲𝗻𝗱𝘀: Advancements in AI algorithms are improving performance, while increasing data requirements have implications for deskilling in knowledge-intensive industries. - 🌟 𝗧𝗲𝗰𝗵 𝗧𝗮𝗹𝗲𝗻𝘁 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀: The demand for AI, robotics, and cybersecurity skills surpasses the supply, requiring attention. ⚡️ Embrace innovation, collaborate, and strategically invest in emerging tech to thrive in the ever-evolving tech landscape! What are your thoughts on the future of tech? Share in the comments! #FutureTech #TechIndustry #InnovationUncensore #FutureTech #TechIndustry #InnovationUncensored #ReachifyMe

Forrester predicts that in 2024 limited chip availability will drive common sense and taper down AI expectations. Read Forrester's Technology Infrastructure Predictions blog to prepare yourself for the year ahead.

Staying ahead of the curve is crucial for businesses seeking to optimize their operations and drive innovation. Enter Low-Rank Adaptation (LoRA) – a game-changing technique that is revolutionizing how we approach AI models. But what exactly is LoRA, and why is it so important? 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗟𝗼𝗥𝗔? LoRA is a technique designed to make AI models more efficient by reducing the number of parameters that need to be fine-tuned. Instead of adjusting billions of parameters, LoRA freezes the pre-trained model weights and injects trainable layers, which dramatically speeds up the fine-tuning process and reduces the memory needed to store model updates (IBM - United States). 𝗪𝗵𝘆 𝗟𝗼𝗥𝗔 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗕𝗼𝗼𝘀𝘁: By decreasing the computational power required, LoRA allows companies to achieve faster results with lower hardware costs. According to IBM, companies implementing smaller AI models can reduce cloud computing expenses by up to 30% (IBM - United States). 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Smaller models mean that AI can be deployed on less powerful devices, making advanced AI accessible to more businesses and enabling edge computing applications (IBM - United States). 𝗖𝗼𝘀𝘁 𝗦𝗮𝘃𝗶𝗻𝗴𝘀: In a market where GPU shortages and high cloud costs are significant challenges, LoRA offers a cost-effective solution that helps companies maintain their competitive edge without breaking the bank (IBM - United States). 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝗽𝗲𝗲𝗱: For TELCO and IT operations, where real-time data processing is critical, LoRA provides the agility needed to analyze vast amounts of data swiftly and accurately, enhancing decision-making and operational efficiency. 𝗧𝗵𝗲 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗘𝗱𝗴𝗲: Data from Stanford HAI suggests that the intense competition for GPUs is driving up prices, making the efficiency gains from techniques like LoRA even more valuable (IBM - United States). By reducing dependency on high-cost infrastructure, businesses can reallocate resources to innovation and growth. 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗖𝗲𝗻𝘁𝗲𝗿𝘀 (𝗡𝗢𝗖): Implementing LoRA can streamline network monitoring and maintenance, reducing downtime and improving service reliability. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗖𝗲𝗻𝘁𝗲𝗿𝘀 (𝗦𝗢𝗖): Enhanced threat detection and faster response times are critical benefits, helping to protect sensitive data and maintain robust security postures. Embrace the future of AI with LoRA and see how this powerful technique can transform your business operations. #EfficientAI #LoRA #AIInnovation #EdgeComputing #TELCOAI #ExpertAdvice #AITransformation

The 7 Biggest Tech Trends to Expect in 2024   Kyndryl’s global practice leaders share perspectives on the top trends expected in 2024. Which ones are you prepared for, and which one do you fear the most? See below what I would do to prepare for each trend… What will you do? If you're out of ideas, I can help you out. The 7 Biggest Tech Trends to Expect in 2024 Trend #1: New ways of working will drive culture, technology, and workplace transformation. I would implement flexible remote work policies and leverage collaboration technologies to foster a culture of adaptability and innovation. Trend #2: Data governance will emerge as the critical factor in AI adoption. I would establish robust data governance frameworks to ensure ethical and responsible AI adoption, emphasizing transparency, accountability, and compliance. Trend #3: Smarter cloud strategies will help enterprises navigate rising costs. I would develop and implement intelligent cloud strategies that optimize resource usage and costs, focusing on efficiency and scalability. Trend #4: The mainframe will remain relevant as part of a hybrid environment. I would integrate mainframe systems seamlessly into hybrid environments, recognizing their continued relevance for certain critical workloads. Trend #5: As AI-driven devices proliferate, data protections and reduced latency will become paramount. I would prioritize investments in data protection technologies and low-latency infrastructure to address security concerns arising from the proliferation of AI-driven devices. Trend #6: Cyberattacks will increase in number and sophistication. I would enhance cybersecurity measures, including advanced threat detection and response capabilities, to counter the increasing number and sophistication of cyberattacks. Trend #7: Sustainable technology will be a priority. I would incorporate sustainable technology practices, such as energy-efficient infrastructure and responsible sourcing, into IT strategies to align with the growing emphasis on environmental responsibility. #Kyndryl #thehearthofprogress   https://lnkd.in/dag_MUQA  

Forrester predicts that in 2024 limited chip availability will drive common sense and taper down AI expectations. Read Forrester's Technology Infrastructure Predictions blog to prepare yourself for the year ahead.

@Accenture Federal Services’ Federal Technology Vision 2023 dives into four emerging technology trends that will reshape federal agencies’ operations in the years and decades ahead: Foundation models and generalized AI, digital identity, data architectures, and science technology. We are looking at a future where the boundaries between what’s physical and what’s digital are increasingly torn down – and we can move more seamlessly between these realms to achieve greater mission success.   This report is for anyone looking to explore the future of federal and how to position to take advantage of technology trends to achieve mission outcomes. Don't miss Trend 3 where we talk about the how foundation models are changing the way we can quickly bring the power of AI to solve complex problems. Many thanks to my co-author @Chris Copeland and all those involved in this report. #FedTechVision #AI #cloud #data