La Inteligencia Artificial ya no es opcional: es el nuevo pilar de las organizaciones modernas. Hoy, las empresas más competitivas operan, innovan y toman decisiones con IA en el centro su estrategia. Según McKinsey, solo la IA Generativa podría aportar hasta 4.4 billones de dólares anuales a la economía global, pero solo para aquellas organizaciones que sepan implementarla de forma efectiva.
La reciente popularidad de la tecnología blockchain no es en balde. Al margen de barreras geográficas y económicas, blockchain ha irrumpido completamente en todas las actividades empresariales y ya está causando una profunda transformación que va a prolongarse en el tiempo.
The 5th Generation of the Internet represents an increase in the possibilities of its applications. Blockchain connects decentralized systems in a format that is open source, versatile, and unalterably secure without depending on third parties so that everyone can participate directly in the exponential change that is taking place.
Learn to leverage the latest deep learning advancements to create innovative solutions and solve your organization’s pressing challenges. Over the course of two intensive days, you’ll explore actionable strategies for anticipating and addressing critical issues that can impact classification performance and other hurdles, and master cutting-edge machine learning tools that process data in different modalities, including text, images, and graphs.
There’s a digital revolution underway. To stay ahead, today’s leaders need a thorough understanding of the rapid—and sometimes radical—developments that are shaping this transformation. In this 8-week program, you’ll learn about the five biggest technologies that are shifting the economic landscape—blockchain, artificial intelligence, cloud computing, Internet of Things, and cybersecurity—and acquire the strategies you need to respond to the latest developments.
Acquire the fundamental machine learning expertise you need to immediately implement new strategies for driving value in your organization. This foundational course covers essential concepts and methods in machine learning, providing the basic building blocks required to solve real tasks. You’ll also gain a deeper understanding of the strengths and weaknesses of learning algorithms, and assess which types of methods are likely to be useful for a given class of problems.
In this program, you’ll work closely with industry and government professionals across a range of disciplines to explore innovative urban design solutions—and enhance your ability to integrate the latest sensor and actuator architecture and other cutting-edge technologies into the built environment.
Acquire the skills you need to build advanced computer vision applications featuring innovative developments in neural network research. Designed for engineers, scientists, and professionals in healthcare, government, retail, media, security, and automotive manufacturing, this immersive course explores the cutting edge of technological research in a field that is poised to transform the world—and offers the strategies you need to capitalize on the latest advancements.
In order to keep your company at the cutting edge of technology, you need to think like a software company. That's where DevOps comes in. With this course, you will learn the key attributes of software development methodology and how to apply these methods in a way that aligns with your most important business objectives. These attributes include: continuous development, continuous delivery, theory of constraints, value streams, telemetry, A/B testing, information security, change management, and compliance.
Devavrat Shah
Lead Instructor
Devavrat Shah is a professor with the department of electrical engineering and computer science, MIT. He is a member of the Laboratory for Information and Decision Systems (LIDS) and Operations Research Center (ORC), and the Director of the Statistics and Data Science Center (SDSC) in IDSS. His research focus is on theory of large complex networks, which includes network algorithms, stochastic networks, network information theory and large-scale statistical inference.