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[Online workshop] How to monitor your AI applications with New Relic
New Relic
Online Workshop
As AI adoption rates continue to surge, particularly in the realm of generative AI, engineers face new challenges to ensuring their AI-powered applications are reliable, secure, and compliant.
Join us for a session on How to monitor your AI applications with New Relic on 1st October at 10am BST / 11am CEST where we will discuss practical insights on how to overcome these challenges.
In this webinar you'll learn how to:
- Accelerate AI initiatives: Proactively monitor and resolve issues to keep your AI projects on track with New Relic.
- Optimise LLM selection and management: Choose the right LLMs for your application and manage their performance and costs effectively.
- Ensure compliance: Build generative AI solutions that adhere to compliance standards and regulations.
Don’t miss this opportunity to enhance your AI monitoring capabilities. Register now to secure your spot. Even if you can’t make it,
go ahead and sign up—we’ll send you the recording to watch at your convenience.Register now
by "New Relic" <emeamarketing@newrelic.com> - 05:01 - 18 Sep 2024 -
3 Places Left - Discount - A local Telecommunication Company Still Required
3 Places Left - Discount - A local Telecommunication Company Still Required
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With 18 slots available on the My Caddie Golf Platform featuring Birchwood Golf Club (1 company per hole) and 15 sold so far, we only have 3 left.
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As the cost has been reduced to the equivalent of just £23 per week (was £31), these last 3 slots are likely to get filled in the next few days.
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You will still get all of these great benefits:
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Disclaimer: Our app operates independently. While we provide authentic and accurate hole-by-hole guides, we do not have a direct association with Birchwood Golf Club or claim any endorsement from them. We aim to offer golfers a reliable guide as they navigate their favourite courses. As a value-add for our advertisers, we offer free tee times at Birchwood Golf Club which we procure as any customer would, directly from the venue. We also host networking events, which may be held a various local venues as well as online sessions.Furthermore, advertisers have the unique opportunity to be featured in our flyovers of each golf hole. All offerings are subject to availability and terms.
by "Jack Stevens" <jack@w1g.biz> - 03:21 - 18 Sep 2024 -
What do workers say motivates them?
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Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
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—Edited by Belinda Yu, editor, Atlanta
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How Netflix Warms Petabytes of Cache Data
How Netflix Warms Petabytes of Cache Data
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Disclaimer: The details in this post have been derived from the Netflix Tech Blog. All credit for the technical details goes to the Netflix engineering team. The links to the original articles are present in the references section at the end of the post. We’ve attempted to analyze the details and provide our input about them. If you find any inaccuracies or omissions, please leave a comment, and we will do our best to fix them.
The goal of Netflix is to keep users streaming for as long as possible.
However, a user’s typical attention span is just 90 seconds. If the streaming application is not responding fast enough, there is a high chance that the user will drop off.
EVCache is one tool that helps Netflix reduce latency on their streaming app by supporting multiple use cases such as:
Lookaside Cache: When the application needs some data, it first tries the EVCache client and if the data is not in the cache, it goes to the backend service and the Cassandra database to fetch the data.
Transient Data Store: Netflix uses EVCache to keep track of transient data such as playback session information. One application service might start the session while the other may update the session followed by a session closure at the end.
Primary Store: Netflix runs large-scale pre-compute systems every night to compute a brand-new home page for every profile belonging to every user based on the watch history and recommendations. All of that data is written into the EVCache cluster from where the online services read the data and build the homepage.
High Volume Data: Netflix has data that has a high volume of access and also needs to be highly available. For example, UI strings and translations are shown on Netflix's home page. A separate process asynchronously computes and publishes the UI strings to EVCache from where the application can read it with low latency and high availability.
The diagram below shows the various use cases in more detail.
Netflix uses EVCache as a tier-1 cache. For reference, it is a distributed in-memory caching solution based on memcached that is integrated with Netflix OSS and AWS EC2 infrastructure.
At Netflix, EVCache holds petabytes of data comprising thousands of nodes and hundreds of clusters in production. These clusters are routinely scaled up due to the increasing growth of the Netflix user base and the user data generated.
The earlier process to make the cache bigger followed the below steps:
Set up a new, empty cache replica (group of nodes).
Write data to both the old and new cache replica at the same time.
Wait for the data in the old cache to expire.
Then, switch to using just the new, bigger cache replica.
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See the diagram below for reference:
This approach worked, but it was expensive because they had to run two systems simultaneously for a while. Also, this solution had a few more problems:
It didn’t work well for data that never expires.
It was inefficient for data that doesn’t change often.
When they replaced parts of the system, it could cause a slowdown because the new nodes weren’t warm, resulting in cache misses.
To fix these problems, Netflix created a new tool called the cache warmer. This tool had two main features:
Replica Warmer: When Netflix adds new storage units (replicas), they need to fill them with data. The replica warmer quickly copies data from an existing storage unit to the new one. It does this without slowing down or disrupting the user experience for existing users.
Instance Warmer: Sometimes, a storage unit (node) needs to be replaced or shuts down unexpectedly. The instance warmer quickly fills the new or restarted unit with data by copying data from another healthy storage unit.
For Instance Warmer, they copy data to the new empty node from another replica in the system. This is done because the other nodes in the system have continued to operate and update data while this node was down or being replaced. By choosing a replica that doesn’t include this node, they ensure they’re getting the most up-to-date data from nodes that have been continuously operational.
Cache Warmer Design
The diagram below shows the architectural overview of the cache warming system built by Netflix.
The cache warming system consists of three main components:
Controller
Dumper
Populator
Let’s look at each component one by one.
Controller
The Controller is the manager of the entire cache warming process. It sets up the environment and creates a communication channel (SQS queue) between the Dumper and Populator.
Some of the key functions performed by the controller are as follows:
The Controller selects the source replica. If the replica is not user-specified, it is usually the one with the most data.
Next, it creates an SQS queue for communication and initiates the data dump on the source nodes.
After that, the Controller creates a new Populator cluster.
Finally, it monitors the process and cleans up the resources after the job is done.
Dumper
The Dumper is part of the EVCache sidecar, which is a separate service running alongside the main cache (memcached instance) on each node. Its job is to extract data from the existing cache.
The dumping process works as follows:
The Dumper lists all keys using the memcached LRU Crawler utility
It saves keys into multiple “key-chunk” files.
For each key, it retrieves the value and additional data. This data is saved into “data-chunk” files.
It uploads the data chunks to S3 when they reach a certain size.
Lastly, it sends a message to the SQS queue with the S3 location of the data chunk.
The Dumper supports configurable chunk sizes for flexibility. It is also capable of parallel processing of multiple key chunks.
Populator
The Populator is responsible for filling the new cache with data from the Dumper.
Here’s how it works:
The Populator instance receives configuration (like SQS queue name) from the Controller.
It pulls messages from the SQS queue.
Next, it downloads data chunks from S3 based on these messages and inserts the data into the new cache replicas. It uses “add” operations to avoid overwriting newer data.
The Populator starts working as soon as data is available and doesn’t wait for the full dump. It can auto-scale based on the amount of data available to process.
Instance Warmer
In a large EVCache deployment, individual nodes (servers) can sometimes be terminated or replaced due to hardware issues or other problems. This can cause:
Latency spikes or slowdowns for applications
Drops in cache hit rates if multiple replicas are affected
To minimize these issues, the Netflix engineering team also developed an Instance Warmer that can quickly fill up replaced or restarted nodes with data.
The diagram below shows the overall architecture of the Instance Warmer.
The Instance Warmer works as follows:
EVCache nodes are modified to send a signal to the Controller when they restart.
The Controller receives the restart signal from a node and checks if the node has less than its expected share of data. If so, it triggers the warming process. However, it doesn’t use the replica containing the restarted node as the data source.
The Controller initiates dumping on all nodes in other replicas. It specifies which nodes need warming and which replica they belong to.
The Dumper only extracts data for keys that would hash to the specific nodes being warmed.
Lastly, the Populator consumes these targeted data chunks. It fills only the specific nodes that need warming in the affected replica.
The instance warming process is more efficient than full replica warming because it deals with a smaller fraction of data on each node. Also, it is targeted to specific nodes rather than entire replicas.
The Implementation Results
Netflix is extensively using the cache warmer for scaling if the TTL is greater than a few hours. This has helped them handle the holiday traffic efficiently.
The chart below shows the warming up of two new replicas from one of the two existing replicas. Existing replicas had about 500 million items and 12 Terabytes of data. The warm-up took around 2 hours to complete.
Source: Netflix Tech Blog The Instance Warmer is also running in production and warming up a few instances every day. The chart below shows an instance getting replaced at around 5.27. It was warmed up in less than 15 minutes with about 2.2 GB of data and 15 million items.
Source: Netflix Tech Blog Conclusion
In this post, we’ve looked at the cache-warming architecture implemented by Netflix in detail.
This flexible cache-warming architecture has allowed Netflix to warm petabytes of cache data by copying it from existing replicas to one or more new replicas. Also, it has made it easy to warm specific nodes that were terminated or replaced due to hardware issues.
One of the key takeaways is the cache warmer following a loosely coupled design where the Dumper and Populator are integrated through SQS. This shows how loosely coupled systems provide flexibility and extensibility in the long run as Netflix continues to enhance its system for greater efficiency.
References:
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by "ByteByteGo" <bytebytego@substack.com> - 11:36 - 17 Sep 2024 -
How is gen AI changing software development?
Only McKinsey Perspectives
Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
Welcome to the latest edition of Only McKinsey Perspectives. We hope you find our insights useful. Let us know what you think at Alex_Panas@McKinsey.com and Axel_Karlsson@McKinsey.com.
—Alex and Axel
•
Gen AI in software development. Staying competitive increasingly depends on how well organizations can build software products and services. By helping create better code more quickly, gen AI could increase value. Despite gen AI’s promise, however, it hasn’t yet revealed its full potential. For instance, a 2024 McKinsey Global Survey found that although 65% of respondents report regularly using gen AI, only 13% are systematically using gen AI in software engineering, McKinsey senior partner Charlotte Relyea and colleagues reveal.
—Edited by Belinda Yu, editor, Atlanta
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by "Only McKinsey Perspectives" <publishing@email.mckinsey.com> - 01:08 - 17 Sep 2024 -
Invite to Live Webinar Oct 10 | Create Stylish and Standout Documents Faster with Gen AI
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This session is ideal for professionals who work extensively with PDFs and seek to enhance their document management skills. If you're a project manager, team leader, marketing professional, or anyone involved in document preparation and review, you'll find valuable insights on how to leverage Adobe Acrobat's advanced features. Discover how to streamline workflows, polish your documents, and improve collaboration—all while boosting your productivity.
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by "Adobe Document Cloud" <demand@info.adobe.com> - 10:07 - 16 Sep 2024 -
A new dawn for the technology officer
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Brought to you by Aamer Baig (Aamer_Baig@McKinsey.com) and Klemens Hjartar (Klemens_Hjartar@McKinsey.com), global leaders of McKinsey Technology
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 12:15 - 16 Sep 2024 -
Achieving superhero status: A leader’s guide to institutional capabilities
Leading Off
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Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
Welcome to the latest edition of Leading Off. We hope you find our insights useful. Let us know what you think at Alex_Panas@McKinsey.com and Axel_Karlsson@McKinsey.com.
—Alex and Axel
In such an interconnected and fast-changing economy, what makes a company truly unique? This may seem like an impossible question to answer; much like human beings, companies contain multitudes. But senior partners Brad Mendelson, Harald Fanderl, Homayoun Hatami, and Liz Hilton Segel have identified six elements that help companies develop exceptional institutional capabilities. An institutional capability, or “superpower,” is an integrated set of people, processes, and technology that can give organizations a distinct edge based on one or more of the following: vision and leadership, employees, culture, technology, organizational structure, and routines. While there’s no one approach to determine which superpower is most advantageous for a specific company, organizations can only realize their superpower if they’re clear on the value they hope the capability will create, especially over the longer term; if it’s rooted in corporate strategy; and if it’s linked to work that is core to the company and its industry.
That’s the share of companies that grow sustainably over time, according to McKinsey’s Jill Zucker, Kate Siegel, and Rebecca Doherty. After analyzing the ways in which more than 4,000 global companies pursue growth, they identified three timeless strategies followed by growth outperformers and three others that are newer—many of which underscore the value of a superpower in today’s business environment. Among them is innovating the core business, which accounts for 80 percent of growth; involving key talent in growth initiatives; and creating an innovation culture that embraces risk-taking.
That’s McKinsey’s Eric Lamarre, Kate Smaje, and Rodney Zemmel on the promise, and the inherent challenges, of tech. Technology is a superpower in its own right. But these days, digital and AI transformations are table stakes for all companies, and many organizations struggle to take advantage of tech at scale. In their book, Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI, the authors describe six interconnected capabilities that a business needs to stay competitive through its tech—all of which call for strong leadership at the top. “The cross-functional nature of a digital and AI transformation requires an unparalleled level of collaboration across the C-suite,” they say. “Rewiring the business is an ongoing journey of improvement, not a destination.”
Superpowers, and the heroes who possess them, have long been a big draw for moviegoers. But returns on the movie industry’s superhero investments seem to be diminishing as viewers grow wary of seeing the same characters and motifs in film after film. One potential antidote: improving the industry’s representation of Latinos, both on- and off-screen. According to McKinsey research, US Latinos account for larger percentages of ticket sales and streaming subscribers than their share of the population but remain underrepresented in the leadership of media companies, in acting roles, and as content creators whose work is greenlit. A concerted effort to create more opportunities for Latino talent and stories could bring in more viewers and generate more revenue for the entertainment industry—and dispel long-held stereotypes about a large, and growing, community.
Lead by investing in institutional capabilities.
— Edited by Daniella Seiler, executive editor, Washington, DC
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by "McKinsey Leading Off" <publishing@email.mckinsey.com> - 04:31 - 16 Sep 2024 -
How can organizations unleash middle managers’ full potential?
On Point
Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
Welcome to the latest edition of Only McKinsey Perspectives. We hope you find our insights useful. Let us know what you think at Alex_Panas@McKinsey.com and Axel_Karlsson@McKinsey.com.
—Alex and Axel
•
Overworked middle managers. Despite their critical role as translators, connectors, navigators, and coaches, middle managers face numerous challenges, McKinsey partners Bryan Hancock and Emily Field reveal in a recent episode of McKinsey Talks Talent. Managers are frustrated: 44% cite organizational bureaucracy as preventing them from doing their work, says Field, who coauthored Power to the Middle: Why Managers Hold the Keys to the Future of Work with Hancock and McKinsey senior partner emeritus Bill Schaninger.
—Edited by Jordyn Libow, editor, Atlanta
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by "Only McKinsey Perspectives" <publishing@email.mckinsey.com> - 01:24 - 16 Sep 2024 -
MD equip your team for remote interview success with our free 🎓Masterclass
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Navigating remote interviews can be challenging, not just for candidates but for hiring teams too. That's why we’re excited to share our new Masterclass: How to Nail Your Remote Interview — a valuable resource to help your teams guide candidates toward remote interview success.
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Top 10 insights this quarter
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Top Ten Newsletter │ Third Quarter 2024
Our top ten insights this quarter look at digital transformations, the energy transition, employee motivation, and more. At No. 1 is "What to read next: McKinsey’s 2024 annual book recommendations," which features contributions from CEOs, founders, media leaders, and McKinsey leaders, including Bob Sternfels, Kweilin Ellingrud, and Homayoun Hatami.
1. What to read next: McKinsey’s 2024 annual book recommendations
Looking for your next book? Each year, McKinsey seeks out the best books in business, technology, workplace culture, and more. Here’s our 2024 list, recommended by CEOs, founders, editors in chief, and other global leaders. Explore 90-plus book recommendations
3. What is digital transformation?
Digital transformation is the rewiring of an organization, with the goal of creating value by continuously deploying tech at scale. A clear digital transformation strategy focused on specific domains and enabled by a set of specific capabilities is critical for organizations to not only compete but survive. Digital transformations are not a one-and-done project; most executives will be on this journey for the rest of their careers. Get it right
Generation Z refers to people born between 1996 and 2010. They’re the second-youngest generation, between millennials and Generation Alpha. Gen Z identity has been shaped by the digital age, climate anxiety, a shifting financial landscape, and COVID-19. They’re known as ‘digital natives’—the first generation to grow up with the internet. Get to know them
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by "McKinsey Top Ten" <publishing@email.mckinsey.com> - 03:45 - 15 Sep 2024 -
The week in charts
The Week in Charts
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by "McKinsey Week in Charts" <publishing@email.mckinsey.com> - 03:29 - 14 Sep 2024 -
EP129: The Ultimate Walkthrough of the Generative AI Landscape
EP129: The Ultimate Walkthrough of the Generative AI Landscape
Forwarded this email? Subscribe here for moreThis week’s system design refresher:
How Search Really Works (Youtube Video)
The Ultimate Walkthrough of the Generative AI Landscape
Cheatsheet on Relational Database Design
My Favorite 10 Soft Skill Books that Can Help You Become a Better Developer
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How Search Really Works
The Ultimate Walkthrough of the Generative AI Landscape
Generative AI and LLMs are fast becoming a game-changer in the business world. Everyone wants to learn more about it.
The landscape covers the following points:
What is GenAI?
Foundational Models and LLMs
“Attention is All You Need” and its impact
GenAI vs Traditional AI
How to train a foundation model?
The GenAI Development Stack (LLMs, Frameworks, Programming Languages, etc.)
GenAI Applications
Designing a simple GenAI application
The AI Engineer Job Role
Over to you: What else would you add to the GenAI landscape?
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Cheatsheet on Relational Database Design
A relational database is a type of database that organizes data into structured tables, also known as relations. These tables consist of rows (records) and columns (fields).
Some key points to know about Relational Database Design
SQL
SQL is the standard programming language used to interact with relational databases. It supports fundamental operations for data manipulation, data definition, and data control.Fundamental RDBMS Concepts
There are some fundamental RDBMS concepts such as table, row, column, primary key, foreign key, join, index, and view.Keys in Relational Databases
Different types of keys are as follows:
Primary Key: A column or combination of columns uniquely identifying each record in a table.
Surrogate Key: Artificial key generated by the database system or a globally unique identifier that has no inherent meaning to the data.
Foreign Key: A column or a combination of columns in one table that references the primary key of another table.Relation Types
Relationships between tables play a key role in defining how data is connected. Three main types of relationships are:One-to-One Relationship: A record in one table is associated with one record in another table.
One-to-Many Relationship: A record in one table is associated with multiple records in another table
Many-to-Many Relationship: Records in both tables can have multiple records in the other table.
Joins
Joins act as bridges, connecting different tables based on their relationship. They are extremely useful when you need to retrieve data from multiple tables. There are 3 main types of joins:Inner Join
Right Outer Join
Left Outer Join
Over to you: What else should you know about relational database design?
My Favorite 10 Soft Skill Books that Can Help You Become a Better Developer
Productivity & Personal Development
Deep Work by Cal Newport
Atomic Habits by James Clear
The Effective Executive by Peter Drucker
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Crucial Conversations by Kerry Patterson et al.
How to Win Friends and Influence People by Dale Carnegie
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Extreme Ownership by Jocko Willink and Leif Babin
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The Clean Coder by Robert Martin
The Design of Everyday Things by Dan Norman
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by "ByteByteGo" <bytebytego@substack.com> - 11:35 - 14 Sep 2024 -
Las reglas cambiantes de la salud organizacional
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Aunque muchas de las prácticas y resultados que han definido la salud organizacional no han cambiado desde que McKinsey lanzó el Índice de Salud Organizacional (Organizational Health Index, OHI) en 2003, la dinámica del lugar de trabajo ha evolucionado. En nuestro artículo destacado, los socios senior Aaron de Smet, Arne Gast y sus coautores exploran los resultados de la última actualización del OHI, incluidos seis cambios clave que surgieron de los datos en las áreas de propósito, liderazgo, toma de decisiones, experiencia de los empleados, tecnología y responsabilidad social. Otros temas destacados son:
•
Por qué las organizaciones deben abordar la integración de la IA generativa de manera holística
•
La importancia de la excelencia de extremo a extremo (e2e) como modelo operativo y mentalidad de cambio de paradigma para los minoristas
•
Cómo pueden las organizaciones acelerar el desarrollo de la IA al tiempo que mitigan los riesgos
•
Cinco dilemas comunes a los que se enfrentan los CEOs de hoy en día
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LOS DESTACADOS DE ESTE MES
El próximo punto de inflexión de la IA generativa: De la experimentación de los empleados a la transformación organizacional
Mientras muchos empleados adoptan la IA generativa en el trabajo, las empresas luchan por seguir su ejemplo. Para capturar el valor del impulso actual, las empresas deben transformar sus procesos, estructuras y enfoques del talento.
Póngase al día
¿La clave para acelerar el desarrollo de la IA? Pragmatismo más imaginación
Los líderes están tratando la IA generativa menos como una curiosidad y más como una parte integral del negocio. La investigación de McKinsey arroja luz sobre quién utiliza la IA, cómo la utiliza y los retos que quedan por delante.
Esté preparado
Deconstruir silos para descubrir ahorros: El manual de excelencia de extremo a extremo para minoristas
Algunos de los problemas operativos más perniciosos de los minoristas pueden resolverse con una transformación integral. Esto es lo que tienen que hacer.
Ponga las bases del éxito
Cómo la innovación puede acelerar el impulso de la industria
Provocar una nueva oleada de crecimiento a través de la innovación puede beneficiar a toda una industria, pero quienes encienden la chispa tienden a obtener las mayores recompensas.
Innove con audacia
Impulsar el crecimiento mediante momentos de deleite del cliente
El deleite tiene el poder de elevar la experiencia del cliente, así como de amplificar la lealtad y el crecimiento de empresas de todos los sectores.
Deleite a sus clientes
¿El trabajo más solitario? Cómo los mejores CEOs gestionan los dilemas y la vulnerabilidad
Este artículo reúne las perspectivas de alrededor de 100 altos directivos sobre cinco dilemas comunes que complican su capacidad de liderar frente a prioridades encontradas.
Sea un líderEsperamos que disfrute de los artículos en español que seleccionamos este mes y lo invitamos a explorar también los siguientes artículos en inglés.
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How much value could generative AI agents deliver for enterprises?
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—Alex and Axel
•
Generative AI agents. Generative AI (gen AI) agents are software entities that can plan and perform tasks or aid humans by delivering specific services on their behalf. They are well on the way to automating a wide range of tasks in many service functions while also improving service quality, McKinsey senior partners Jorge Amar and Lari Hämäläinen and partner Nicolai von Bismarck share. Gen AI agents hold the promise of accelerating workflow automation. And as such agents become more proficient, they could also improve customer satisfaction and generate revenue.
—Edited by Aarushi Jain, editor, Atlanta
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