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This article sheds light on what's coming with AI+BI: https://lnkd.in/ejYfHjTY If you don't want to read the entire article, see below for the GPT summary: * Generative AI is considered a significant technological force, akin to the impact the public Internet had on society. * Despite its impressive capabilities in forecasting and intuitive interaction through ML and NLP, generative AI can be limited by issues such as lack of transparency and the problem of hallucination. * One way to address these challenges is by combining generative AI with enterprise Business Intelligence (BI) to ensure more reliable and consistent results for decision-makers. * The partnership between AI and BI enhances data analysis by providing real-time, organized insights in natural language through a bot, enabling smarter decisions across an organization. * By merging the strengths of AI and BI, businesses can transform data into a strategic asset, driving competitive advantage through agility, efficiency, and informed decision-making.

Title: A Few Essential Tips for Understanding Artificial Intelligence (AI) Artificial Intelligence (AI) is undoubtedly one of the most intriguing and rapidly evolving fields in technology today. As AI continues to shape various industries and aspects of our lives, it's essential to gain a basic understanding of this intricate concept. Here are a few fundamental tips to help demystify AI and comprehend its impact. 1. What is AI?: AI refers to the simulation of human intelligence in machines designed to perform tasks that typically require human intelligence, such as speech recognition, problem-solving, and decision-making. It involves various subfields such as machine learning, natural language processing, robotics, and computer vision. 2. Different Types of AI: AI can be categorized into three main types: Narrow AI, General AI, and Superintelligent AI. Narrow AI is designed for specific tasks, like virtual assistants and recommendation algorithms. General AI would possess human-level intelligence, while Superintelligent AI surpasses human intelligence altogether. Currently, Narrow AI is the widely used and accessible form. 3. Machine Learning: Machine Learning (ML) is a critical subset of AI that involves computers learning from data and making predictions or decisions without being explicitly programmed. By analyzing vast amounts of structured and unstructured data, ML algorithms can improve their performance over time, enabling them to handle complex tasks with high accuracy. 4. Ethical Considerations: As AI becomes more prevalent, ethical implications become increasingly significant. Questions arise around privacy, job displacement, bias, and the responsibility of AI developers and users. It is essential to explore and address these issues to ensure AI is deployed ethically and responsibly. 5. Real-World Applications: AI is revolutionizing various industries, including healthcare, finance, transportation, and marketing. In healthcare, AI-enabled algorithms can aid in diagnosing diseases and developing treatment plans. In finance, AI-driven algorithms help detect fraud and make better investment decisions. Understanding AI's practical applications can help identify opportunities for innovation and progress across sectors. 6. Continuous Learning: AI is an ever-evolving field, with new research and breakthroughs happening frequently. To stay up-to-date, consider following trusted resources, attending conferences, and exploring online courses and publications related to AI. Continuous learning will help you navigate the changing landscape and understand the latest advancements. 7. Collaboration Opens New Doors: Collaborating with experts from diverse backgrounds can unlock fresh perspectives and foster innovation in AI. Engaging in AI communities, attending meetups, and participating in open-source projects are excellent ways to connect with like-minded individuals and learn from their expertise. As AI continues to shape our world, these…

 Generative AI, thanks to natural language processing (#NLP) capabilities and advances in large language models (#LLMs), promises to transform content-creation and application development, as well as the very ways we interact with digital solutions and #data. If business users had their way, generative #AI would be built into applications across the whole organization, from marketing and operations to finance and beyond, to improve efficiencies, streamline processes, and reduce costs. Read this article in @TDWI by @Alberto Pan, EVP & CTO at @Denodo, and discover why #Datamanagement will play a critical role in enabling #generativeAI to reach its full potential https://buff.ly/49S8KzY

The essence of Myths in Artificial Intelligence AI Has Human-Like Consciousness: AI lacks human thoughts and emotions, functioning based on algorithms. AI Will Completely Replace Human Jobs: AI augments human abilities and creates new roles, not entirely replacing jobs. AI is Always Accurate: AI can make mistakes due to bias, incorrect data, or unforeseen scenarios. AI Understands Language Like Humans: AI struggles with language nuances and context. AI Will Soon Lead to Superintelligence: Achieving superintelligent AI is complex and uncertain. AI Can Fully Replace Creativity: While AI aids creativity, true artistic depth is uniquely human. AI Implementation is Always Expensive: AI tools are becoming more accessible and affordable. AI Understands the World Like Humans: AI lacks common sense and innate world knowledge. AI Can Make Ethical Decisions: AI lacks moral values and requires human guidance. AI Will Achieve General Intelligence Soon: Current AI lacks broad intellectual capabilities. Understanding these myths is crucial to making informed decisions about AI. Research to reach closer to realty AI Achieving Human-Level Intelligence: Research aims to create AI systems excelling in specific tasks, moving closer to human expertise. AI Emulating Creativity: AI generates art, music, and literature using GANs and neural networks, assisting artists. AI and Ethical Decision-Making: Efforts integrate ethics into AI algorithms for accountable and value-aligned decisions. AI Understanding Natural Language Better: NLP research enhances AI's language comprehension, though full context understanding remains a challenge. AI for Superintelligence: Research in cognitive science and AI explores replicating human-like cognitive abilities. AI in Human-Machine Collaboration: AI aids humans in complex tasks through partnership models, improving efficiency. AI Bias Mitigation: Research addresses biases, developing fairness-aware algorithms and improving data collection. AI Accessibility and Affordability: Initiatives focus on user-friendly tools, open-source platforms, and cloud services for wider AI access. AI and Robotics Advancements: AI-driven robots are developed for diverse applications, bridging AI and physical systems. We need to understand one truth that AI will almost be explored to do everything and anything which a human can do or at least assist them in same... The use of AI, Connected Devices, IoT will increase so is the need for cloud storage. So all IT / ITES companies may eventually be labeled as AI-IT / AI-ITES companies... There is a huge talent gap as what we observe is youngsters rush and push to learn maybe some regression models or even keep exploring tools... but every research project has a stringent budget and mostly it needs to have outcome. Hypes have happened multiple times Y2K then Ecommerce and so on... we need to build strong foundations for those Hypes to be converted to opportunities.

Greetings, We are thrilled to present our cutting-edge AI services tailored to transform your business into a realm of endless possibilities. In a world driven by data and automation, our AI solutions are poised to redefine the way you operate, innovate, and excel. At Amethyst Developer, we have harnessed the power of artificial intelligence to address your unique challenges and unlock new opportunities. Whether it's enhancing customer experiences, optimizing operations, or driving insightful decision-making, our AI services are designed with your success in mind. What We Offer: Predictive Analytics: Leverage the prowess of predictive analytics to foresee trends, anticipate customer preferences, and make data-driven decisions that put you ahead of the curve. Natural Language Processing (NLP): Communicate effortlessly with your customers using NLP. Our solutions understand, process, and generate human-like language, revolutionizing interactions and engagement. Image Recognition: Uncover insights hidden within images and videos using our advanced image recognition capabilities. From quality control to content analysis, the applications are limitless. Process Automation: Streamline workflows and boost efficiency through intelligent process automation. Say goodbye to manual tasks and welcome a new era of productivity. Personalized Recommendations: Deliver tailor-made recommendations to your customers, fostering loyalty and increasing sales. Our AI learns from user behavior to create experiences that resonate. Data Insights: Extract meaningful insights from your data jungle. Our AI sifts through complex datasets to reveal patterns, correlations, and opportunities that were once buried. Why Choose Us: Expertise: Backed by a team of seasoned AI professionals, we possess a deep understanding of AI's potential and its practical implementation across diverse industries. Customization: We don't believe in one-size-fits-all. Our solutions are customized to your specific needs, ensuring relevance and maximum impact. Scalability: As your ambitions grow, so should your AI capabilities. Our scalable solutions evolve with you, adapting to new challenges and horizons. Ethics and Transparency: We uphold the highest standards of ethics and transparency in AI development, assuring you of responsible and accountable solutions. Results-Driven: We measure our success by the value we bring to your business. Expect tangible results that drive growth, efficiency, and innovation. Embark on a journey of transformation with Amethyst Developer AI services. Let's shape the future together. To explore the endless possibilities, contact us at https://lnkd.in/dJjCv8CD or +923247196911. Innovation awaits. Best Regards, Abdul Moeez Cheif Executive Officer Amethyst Developer

Fact is there is AI hallucination ....... Everything and Anything in the world is not AI Everyone and Anyone doesn't need AI ... Here is the post which I'm trying my best to explain Myths of AI 1. Myth: AI, Machine Learning, and Deep Learning are the same Reality: AI encompasses a broad range of techniques that enable computers to mimic human intelligence. While ML is a successful way to achieve this, AI also includes rule-based systems, natural language processing (NLP), and computer vision (CV). DL, on the other hand, is a subset of ML based on neural networks inspired by the human brain In the world not every problem can be resolved using ML. ML do have limitations. When you have a pain X-ray might not be helpful always, you need CT or MRI scans. 2. Myth: Not every company needs AI. Reality: AI offers benefits like improved products, optimized business operations, and better predictions. Ignoring AI risks losing competitive advantage. All companies should identify suitable AI use cases to stay ahead As I always say - everything and anything in the world is not AI 3. Myth: AI algorithms are unbiased. Reality: AI systems are built using human expertise and real-world data, which inherently carry biases. Eliminating bias completely is challenging 4. Myth: AI will eliminate the necessity for human labor Reality: AI augments human capabilities but won't replace them entirely. It enhances productivity and efficiency, allowing humans to focus on higher-value tasks The ultimate target of AI is make like simple easy with more productivity 5. Myth: AI will only affect routine and manual jobs Reality: AI impacts diverse roles, including creative, strategic, and analytical ones. It transforms industries beyond routine tasks Consider AI as a mandatory transformation only 6. Myth: AI can think like humans. Reality: AI lacks consciousness and self-awareness. It processes data based on algorithms, not human-like cognition. Humans are humans always all-time 7. Myth: AI will lead to superintelligent machines soon Reality: Achieving artificial general intelligence (AGI) remains elusive. Current AI systems are specialized and lack human-level understanding. There might be a day but not soo soon 8. Myth: AI will replace doctors, lawyers, and other professionals. Reality: AI complements professionals by aiding diagnosis, legal research, and data analysis. It won't replace their expertise. Consider AI as support but not substitute 9. Myth: AI can predict the future perfectly Reality: AI predictions are based on historical data and assumptions. Prespective analytics is future - trust me 10. Myth: AI will take over the world and become malevolent Reality: Hollywood scenarios aside, AI is a tool created by humans. Its impact depends on how we design, deploy, and regulate it. Remember, understanding AI's capabilities and limitations is crucial for informed decision-making. Let's understand reality of AI #ai #automation

🚀 The ground beneath us trembles as Big Tech plunges headfirst into the AI revolution of 2024, a seismic shift that reverberates across industries, signaling a dawn of unparalleled innovation and transformation. 💥 Companies engage in a fierce race to the top, feverishly developing AI search tools fueled by large language models, setting the stage for a monumental shift in how information is accessed and harnessed online, forever altering the digital landscape we know. 🔮 Behold the power of natural language processing (NLP), a technological marvel that promises to rewrite the rules of business operations, unveiling a treasure trove of promising use cases that have the potential to reshape industries and redefine standards of efficiency and productivity. ⚕️ In the realm of healthcare, AI emerges as a beacon of hope and progress, casting its transformative spell to enhance patient outcomes, streamline operational processes, and revolutionize the very fabric of healthcare delivery with unprecedented impact and precision. 🎓 Education stands on the precipice of a paradigm shift, as AI equips both educators and students with invaluable tools that transcend traditional teaching methods, opening doors to a new era of personalized learning, collaboration, and innovation. 👁️ Witness the marvels of computer vision as it unravels before us, a testament to AI's boundless capabilities in interpreting visual data to drive informed decision-making, propelling efficiency and breakthroughs across a myriad of industries with unbridled potential. 🛒 Step into the world of retail, where AI reigns supreme both in-store and online, revolutionizing customer experiences, optimizing operations, and fueling business growth by leaps and bounds, paving the way for a new era of seamless, personalized retail interactions. ⚠️ But amidst the euphoria, the shadows of AI risks loom large, underscoring the pressing need for robust regulations and proactive measures to address potential challenges and ensure ethical AI deployment in a rapidly evolving technological landscape. 🌟 As we stand at the cusp of this AI-powered future, let us embrace the winds of change, anticipate the untold possibilities that lie ahead, and together, carve a path toward a world where AI not only transforms industries but enriches lives and propels humanity into a future brimming with promise and potential.  Readmore: https://lnkd.in/gjnSJa3J

Appreciate this post, I would even go as far as to say "eliminating bias is almost impossible" when utilizing data from the past or just yesterday. Humanity in itself still has unconscious bias, until humanity evolves to be either conscious or unbiased our technology will be bias. That is why it's so critical to be aware of what we are currently doing in the present moment so that we can evolve at a pace that will actually impact AI, if not AI will leave us in the dust continuing to repeat our stories of the past. It is time for humanity to wake up. If you have never read the book "Blink" by Malcolm Galdwell, I highly recommend it, it will open your eyes to your own bias and will give you a perspective that can help you understand how we are all very close to running on autopilot just like some of these tools and machines. #universalcode42 #aievolution #ethicalai #awareness #bias #consciousness #genai #web3 #aihallucination #aiphilosophy #bigviews #humancentered

The 2024 Market Agenda for Artificial Intelligence explores the latest trends and provides insights to guide the use of these technologies. Make it a priority for your enterprise. Read: https://bit.ly/42WSr2i #AI #ML #DataScience #NLP #ComputerVision #DeepLearning 

Title: "Artificial Intelligence: Revolutionizing the Future" Introduction: Artificial Intelligence, often abbreviated as AI, has rapidly evolved from science fiction to a fundamental part of our daily lives. This groundbreaking technology is changing the way we live, work, and interact with the world. In this article, we will explore the current state of AI, its various applications, its implications, and its potential to shape the future. The Rise of AI: Artificial Intelligence has made immense strides in recent years, thanks to the convergence of big data, advanced computing power, and innovative algorithms. Machine learning, a subset of AI, allows computers to learn from data and make predictions or decisions. Deep learning, a subfield of machine learning, uses artificial neural networks to solve complex problems. Applications of AI: AI has found its way into various domains, including healthcare, finance, transportation, and entertainment. In healthcare, AI assists in medical diagnosis, drug discovery, and personalized treatment plans. In finance, it's used for fraud detection, algorithmic trading, and risk assessment. Self-driving cars, powered by AI, are set to revolutionize transportation. AI-driven content recommendation systems enhance our entertainment experiences. Natural Language Processing (NLP) is another exciting facet of AI that enables machines to understand and generate human language. Virtual assistants like Siri, Alexa, and Google Assistant use NLP to answer questions and perform tasks. AI-powered chatbots provide efficient customer support and streamline communication. The Ethics and Challenges: The rapid development of AI also raises ethical concerns. Questions about privacy, bias in AI algorithms, and the potential for job displacement are being actively debated. Ethical AI development is crucial to ensure fairness and transparency in its applications. The Future of AI: AI's potential is limitless. As we move forward, we can expect AI to play a pivotal role in addressing global challenges, from climate change to healthcare access. AI will continue to advance, with more sophisticated and capable systems. We might even witness the development of Artificial General Intelligence (AGI), which could potentially match or exceed human intelligence. Conclusion: Artificial Intelligence is not just a technology but a transformational force that is reshaping the world. It has enormous potential to enhance our lives and address some of the most pressing global issues. However, its development must be guided by ethical principles and a commitment to ensuring that AI benefits all of humanity. As we stand on the brink of an AI-powered future, it's crucial to embrace this technology responsibly and with a clear vision of its potential and its challenges. #snsinstitutions #snsdesignthinkers #designthinking