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Poor brain health has consequences, such as employee attrition and burnout
On Point
by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:23 - 26 Sep 2023 -
Manage and Schedule Routes for Employee Transportation Vehicles with Route Optimization System
Manage and Schedule Routes for Employee Transportation Vehicles with Route Optimization System
Platform | Usecase
Challenges Faced without Route Optimization
Inefficient Routes: The organization’s manual routing system is inefficient, resulting in longer travel times, increased fuel costs, and reduced productivity.
Inaccurate Scheduling: The organization struggles with inaccurate scheduling. This results in delays, missed pickups, and dissatisfied employees.
Increased Costs: Extra mileage means higher fuel expenses, increased maintenance costs, and a larger environmental footprint.
Solution with Route Optimization
Optimized Routes: Our route optimization generates the most efficient routes. It ensures prompt arrivals and minimizing travel time.
Multiple Checkpoint Allocation: The software allows to allocate multiple pickup and drop points. This ensures that pickups and drop-offs are accurate and timely.
Cost Savings: Reduced mileage and fuel consumption translate to significant cost savings for your transportation budget.
Results Achieved
%201-1.png)
Witness a 20% reduction in transportation costs.
Enjoy up to 30% time savings, enhancing punctuality and productivity.
Uffizio Technologies Pvt. Ltd., 4th Floor, Metropolis, Opp. S.T Workshop, Valsad, Gujarat, 396001, India
by "Sunny Thakur" <sunny.thakur@uffizio.com> - 08:00 - 25 Sep 2023 -
Generative AI: How will it affect future jobs and workflows?
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Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
What role will generative AI play in the future of work? What should we do now to ensure that employers and workers are prepared? Gen AI could automate almost 10 percent of tasks in the US economy, but there are also opportunities to empower employees through upskilling and reskilling, say McKinsey's Kweilin Ellingrud and Saurabh Sanghvi. In a new episode of The McKinsey Podcast, they talk about how leaders today can make sense of gen AI in the workforce, the importance of skills-based hiring, and developing pathways for disadvantaged groups. Tune in and get ready for the future.
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by "McKinsey Daily Read" <publishing@email.mckinsey.com> - 06:41 - 25 Sep 2023 -
Asia on the cusp of a new era
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New from McKinsey Global Institute
Asia on the cusp of a new era
Navigate change 
From poverty to empowerment: Raising the bar for sustainable and inclusive growth
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by "McKinsey Global Institute" <publishing@email.mckinsey.com> - 12:45 - 25 Sep 2023 -
Introducing Tray Universal Automation Cloud
Hi Md Abul,
Today, we’re taking a leap forward in integration and automation innovation. We’re thrilled to announce Tray Universal Automation CloudTM – an AI-powered, unified multi-experience iPaaS designed to dramatically speed up your time-to-integration. With the power of Tray now available in three unique experiences, you can eliminate tech stack complexity and data silos, freeing teams to quickly and collaboratively automate business processes and activate ecosystem integrations. Here’s how:
Unified platform
With the Universal Automation Cloud, we’ve reimagined integration, bringing together the best of Tray Platform and Tray Embedded into a single strategic platform for your business.
Three ways to work
Different teams have different needs. Choose from three distinct experiences to work how you want to work:
Enterprise core
Designed for IT teams, the platform offers the observability, robust governance, security, and scalability enterprises need to automate at scale.
AI-powered
Tray Merlin AI is a game-changing platform-level intelligence layer. It infuses AI into every experience so you can accelerate integration development at every level and across every team including augmented development and on-demand, chat-first automation.
Whether you're aiming to modernize your integration strategy, orchestrate complex automated workflows, or integrate with ecosystem partners, Tray Universal Automation Cloud lets you work in the way best suited to your ambitions. Learn more →
Best,
Rich Waldron, CEO
Tray.io
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by "Rich, CEO at Tray.io" <team@tray.io> - 10:06 - 25 Sep 2023 -
More than half of employees are disengaged. What’s a leader to do?
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Ever since employee burnout and attrition came to the forefront during the COVID-19 pandemic, many employers have responded with measures to improve worker well-being and engagement. But employees’ unhappiness with the workplace still hasn’t changed—if anything, it has become worse. Recent research shows that the number of actively disengaged employees in the US is the highest in a decade. Reasons for workers’ dissatisfaction include limited career advancement opportunities, poor leadership, excessive workloads, and lack of connection to the company’s purpose. While organizations may not be able to address all these challenges at once, some unconventional tactics may help get the process started.
Attrition and employee disengagement could cost large organizations up to $355 million a year in lost productivity, according to research led by McKinsey senior partner Aaron De Smet and colleagues. Over five years, that’s an estimated $1 billion or more per company. To make a dent in those numbers, organizations may need to deploy thoughtful interventions across various groups of employees to increase their motivation and commitment. Our research identifies six different segments of workers that range from highly dissatisfied to superengaged; the challenge for leaders is to move as many workers as possible into the most-engaged part of the spectrum. By paying attention to six important factors—which account for nearly two-thirds of the total cost to companies from disengagement—companies could save an estimated $56 million a year in disengagement costs.
That’s the number of attributes that frontline employees consider most important for career advancement, according to research conducted by McKinsey and Cara Collective. Job growth tops the list, with compensation coming in a close second, and is “significantly more important to frontline employees than their employers think,” note the researchers. Gaps between what workers want and what employers think they want can derail leaders’ efforts to boost employee engagement. For example, in the case of frontline workers, employers place more importance on job titles and overvalue vacation and sick leave, and discrepancies appear between what middle managers—who play a critical role in employees’ satisfaction—perceive as important and what their organization values.
That’s McKinsey senior partner Ben Ellencweig in a discussion with Philipp Skogstad, CEO of Mercedes-Benz R&D North America, on the automaker’s recent beta test of a generative AI tool in its vehicles. “Gen AI is a great addition to any activity that requires creativity and needs human interaction or leadership,” says Ellencweig. Instead of viewing technology as a threat that puts them out of work, humans can use it as an asset that removes much of the tedium from routine tasks and enables people to thrive by doing what they do best. “Think about the technician that services your car when you bring it to the dealer,” observes Ellencweig. “Gen AI has the ability to guide the technician, to identify the problem and quickly pinpoint how to solve that problem.”
As a leader, you may believe that it’s your job to “fix” disengaged employees, but that may not always be practical, says the author of a Harvard Business Review article. Rather, you may be better off learning how to collaborate with them. That may mean enlisting disengaged workers in concrete, task-oriented activities while respecting their personal space. As the “Great Disengagement” pervades workplaces, organizations that prioritize fair pay and rewards, equip their leaders to manage through change, and connect and communicate with employees are likely to come out ahead. And to build a sense of community, it’s important to reestablish workplace rituals that may have been lost.
Lead by engaging.
— Edited by Rama Ramaswami, senior editor, New York
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by "McKinsey Leading Off" <publishing@email.mckinsey.com> - 02:11 - 25 Sep 2023 -
Generative AI is here. What are its potential applications in the auto industry?
On Point
Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
Safer vehicles. Generative AI could allow auto leaders to address some of their biggest challenges, a UK data analytics company stated in a recent report. By incorporating real-time data, the technology enables driver assistance systems to better detect collisions, which improves vehicle safety, per the report. Major auto companies are already using generative AI to transform business processes. In June 2023, an R&D arm of an Asia-based automaker unveiled a design tool that uses generative AI to help auto designers work more efficiently. [Economic Times]
•
ChatGPT in cars. Software development is like having a subway running every ten minutes, Philipp Skogstad, CEO of Mercedes-Benz R&D North America, shares with Ben Ellencweig, McKinsey senior partner and global leader of QuantumBlack, AI by McKinsey, on an episode of our new podcast series, Drivers of Disruption. Iterating quickly and involving multiple teams enabled Mercedes-Benz to swiftly integrate ChatGPT in its vehicles. In June 2023, the brand rolled out its optional gen-AI-powered assistant to about 900,000 US consumers.
•
A smarter commute. Generative AI will likely transform our work, personal lives, and our means of interacting with cars, Skogstad says. Intelligent assistants that have access to employees’ schedules could help them get to work on time. Driving systems might, for instance, recommend leaving the house 15 minutes earlier due to bad weather. They might also suggest relevant news channels to listen to on the way in. Hear the full conversation from the McKinsey Center for Future Mobility to discover how generative AI could change the auto industry.
— Edited by Belinda Yu, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:42 - 25 Sep 2023 -
Top 10 reports this quarter
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Our top ten reports this quarter look at the pandemic's impact on real estate, the net-zero global materials transition, and more. At No. 1, a McKinsey Global Institute report from Kweilin Ellingrud, Saurabh Sanghvi, Anu Madgavkar, Michael Chui, Olivia White, and coauthors reveals how new generative AI tools and automation and could affect the US workforce by 2030. All of our reports are free to download with a McKinsey.com registration—sign up now to stay current on your favorite topics.
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by "McKinsey Top Ten" <publishing@email.mckinsey.com> - 10:45 - 24 Sep 2023 -
The week in charts
The Week in Charts
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by "McKinsey Week in Charts" <publishing@email.mckinsey.com> - 03:50 - 23 Sep 2023 -
EP78: How to Crack Any System Design Interview
EP78: How to Crack Any System Design Interview
Forwarded this email? Subscribe here for moreThis week’s system design refresher:
How to Crack Any System Design Interview (YouTube video)
Key Concepts to Understand Database Sharding
Kubernetes Tools Ecosystem
Cloud Native Landscape
Ace Your Audits With Automation (Sponsored)
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How to Crack Any System Design Interview
Key Concepts to Understand Database Sharding
In this concise and visually engaging resource, we break down the key concepts of database partitioning, explaining both vertical and horizontal strategies.
Range-Based Sharding: Splitting your data into distinct ranges. Think of it as organizing your books by genre on separate shelves.
Key-Based Sharding (with a dash of %3 hash): Imagine each piece of data having a unique key, and we distribute them based on a specific rule. It's like sorting your playing cards by suit and number.
Directory-Based Sharding: A directory, like a phone book, helps you quickly find the information you need. Similarly, this technique uses a directory to route data efficiently.
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Kubernetes Tools Ecosystem
Kubernetes, the leading container orchestration platform, boasts a vast ecosystem of tools and components that collectively empower organizations to efficiently deploy, manage, and scale containerized applications.
Kubernetes practitioners need to be well-versed in these tools to ensure the reliability, security, and performance of containerized applications within Kubernetes clusters.
To introduce a holistic view of the Kubernetes ecosystem, we've created an illustration covering the aspects of:
Security
Networking
Container Runtime
Cluster Management
Monitoring and Observability
Infrastructure Orchestration
Cloud Native Landscape
Many Are Looking for the Definitive Guide on How to Choose the Right Stack
The ANSWER is...
There is no one-size-fits-all guide; it all depends on your specific needs, and picking the right stack is HARD.Fortunately, at this point in time, technology is usually no longer a limiting factor. Most startups should be able to get by with most technologies they find. So spend less time on picking the perfect tech; instead, focus on your customers and keep building.
Over to you all: What do you think is causing this fragmentation in tech stack choices?
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by "ByteByteGo" <bytebytego@substack.com> - 11:37 - 23 Sep 2023 -
Here’s what you might have missed this summer
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New from McKinsey & Company
It’s the first day of autumn in the Northern Hemisphere, which means cooler weather, earlier sunsets, and crimson leaves. But in the business world, fall means back to business. Before the season of peak productivity kicks into high gear, check out some crucial insights you may have missed this summer, including an episode of The McKinsey Podcast featuring partners Emily Field and Bryan Hancock about the costs of middle management gone awry—and look out for our latest thinking on the issues that matter most in business and management in the months ahead.
To see more essential reading on topics that matter, visit McKinsey Themes.
— Edited by Eleni Kostopoulos, managing editor, New York
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 10:06 - 23 Sep 2023 -
A green future in food and agriculture, the latest in the world economy, employee development, and more: The Daily Read weekender
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QUOTE OF THE DAY
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by "McKinsey Daily Read" <publishing@email.mckinsey.com> - 06:23 - 22 Sep 2023 -
You're invited!
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Why we need a systems view of growth, inclusion, and sustainability and the inherent tensions and tradeoffs between all three
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The scale of the economic resources required to achieve both economic empowerment and net zero and how the gaps vary across regions
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How much progress economic growth and business innovation can deliver
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Avenues for action
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by "McKinsey Global Institute" <publishing@email.mckinsey.com> - 04:27 - 22 Sep 2023 -
Sustainable and inclusive growth: Addressing both poverty and climate change
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 12:21 - 22 Sep 2023 -
Remote Global Update: Introducing Remote’s new Global HR Platform + Remote Connect 2023 Virtual Conference
Remote Global Update: Introducing Remote’s new Global HR Platform + Remote Connect 2023 Virtual Conference
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Introducing Remote’s new Global HR Platform
Four years in the making, and the future of global HR is finally here. Find out why we’re building the Global HR Platform to revolutionize the way businesses hire, manage, and pay their teams worldwide — with our new HRIS and Global Payroll products.
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Get your virtual pass now for the Remote Connect 2023 Virtual Conference on October 19th, 2023. Gain valuable insights and strategies for scaling distributed teams. Learn from 40 global work experts, connect with business executives and HR professionals from around the world, and receive practical advice for building stronger remote work cultures. Don't miss out on this opportunity to shape the future of global work.
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Airtasker unlocks top overseas talent with Remote
This fast growing Australia-based services marketplace was struggling to continue its sustained global growth and deliver a seamless user experience. The company needed access to top international talent. Find out how Remote helped unlock the global talent they needed.
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Off-Mute is outRemote CEO Job van der Voort speaks with Gusto co-founder Josh Reeves. The two share their stories at the forefront of distributed work and discuss the driving factors that led to the creation of Gusto Global powered by Remote, an exciting new partnership between the two companies.
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by "Remote" <hello@remote-comms.com> - 05:32 - 22 Sep 2023 -
Innovate toward generative AI greatness
The CEO Shortlist
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Curated by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
The CEO role has never been easy: the boss is ultimately in charge of forming the company’s new strategies, then marshaling the resources to deliver on them. But what we’re hearing now from the world’s CEOs is that their role is harder than ever. Accordingly, we’re doubling down on our commitment to support them. Our CEO Excellence research is generating a steady stream of insights on how the best CEOs consistently deliver results. And other colleagues continue to surface the issues that matter most to CEOs and their teams in the C-suite. In line with that, we’ve changed the focus (and the name) of this newsletter to signal our commitment to helping CEOs—both present and future—do the best jobs they can. Rest assured, we will continue to deliver, twice monthly, four articles and reports that are must-reads for people across the workforce—from C-level execs to the front line. In this edition, we look at how organizations with an innovative culture are more likely to confer a competitive edge with generative AI, how consumer companies are becoming software companies, and more. We hope you enjoy the read.
—Liz and Homayoun
Here’s what’s not new. Companies with highly innovative cultures are better able than their peers to meet the demands of dynamic times. This is known. But in today’s business environment—where generative AI is the talk of every watercooler, and fast movers take the prize—we’ve found that highly innovative companies are even more adept than we thought. When it comes to deploying generative AI at scale, top innovative organizations are widening the competitive gap between themselves and their trailing peers.
Hone your company’s innovative edge with five strategic actions in Companies with innovative cultures have a big edge with generative AI, a new article by Matt Banholzer, Ben Fletcher, Laura LaBerge, and Jon McClain.
Every consumer company is now a software company—or soon will be. More than 500 million people interact with Nike through its apps annually, for example. The Starbucks app clocks more point-of-sale payments in the US than any other platform except Apple. And e-commerce figures prominently in most consumer companies’ ambitions. But the pace of technology innovation is frantic, the demands are huge, and many companies are falling behind.
Keep up with Turning consumer and retail companies into software-driven innovators, by Aman Dhingra, Chandra Gnanasambandam, Rahul Mangla, Hannah Mayer, and Roger Roberts. 
Working hard or hardly working? With hybrid work firmly entrenched at many companies, some leaders are left wondering if all those faces on the videoconference call are committed to the mission, or if some might be spending most of their time on their hobbies (or working another job). Our new research finds that 10 percent of workers at an average organization are highly dissatisfied and actively disengaged. The cost to productivity is staggering—at least $228 million annually for a median-size company.
Companies can reconnect with the disengaged—and all other employees too, including star performers. To learn how, read Some employees are destroying value. Others are building it. Do you know the difference? by Aaron De Smet, Marino Mugayar-Baldocchi, Angelika Reich, and Bill Schaninger.
Tell me a story. We’ve known anecdotally for a long time that investors value ESG but want to see a clear path to value creation before investing. Now, we have the data to back it up, from a new survey of chief investment officers. Once a strong case is made, though, investors are ready to open their checkbooks: our data shows that a significant majority of them will pay a premium for companies that link ESG efforts to financial performance.
Learn how to tell a compelling ESG equity story with Investors want to hear from companies about the value of sustainability, by Jay Gelb, Rob McCarthy, Werner Rehm, and Andrey Voronin.We hope you find our new focus on CEOs inspiring and helpful. See you in two weeks with four more McKinsey ideas for the CEO and others in the C-suite.
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by "McKinsey CEO Shortlist" <publishing@email.mckinsey.com> - 02:12 - 22 Sep 2023 -
Supporting older workers in a multigenerational workplace can benefit business
On Point
Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
(Grand)parental leave. A recent survey found that families spend more than a quarter of their income on childcare, and that roughly four in ten parents rely on family members for childcare help. People in the US are living longer and retiring later, which means many workers are also grandparents. Some companies are adding grandparent leave as a benefit for employees, allowing them to take time off work for the birth or adoption of a grandchild. [Quartz]
•
Lifelong learners. As people live—and work—longer, older adults crave many of the same things their younger counterparts do, like flexible work and learning opportunities. In a recent episode of the McKinsey Health Institute’s (MHI) Conversations on Health series, Jo Ann Jenkins, CEO of AARP, the largest not-for-profit organization working to empower adults 50 and older in the US, tells MHI partner Ellen Feehan that older workers can help fill existing talent gaps. With as many as five generations interacting in the workplace, keeping employees engaged and fulfilled can benefit both companies and the communities they serve.
— Edited by Gwyn Herbein, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:29 - 22 Sep 2023 -
A Crash Course in Redis
A Crash Course in Redis
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Redis (Remote Dictionary Server) is an open-source (BSD licensed), in-memory database, often used as a cache, message broker, or streaming engine. It has rich support for data structures, including basic data structures like String, List, Set, Hash, SortedSet, and probabilistic data structures like Bloom Filter, and HyperLogLog.
Redis is super fast. We can run Redis benchmarks with its own tool. The throughput can reach nearly 100k requests per second.
In this issue, we will discuss why Redis is fast in its architectural design.
Redis Architecture
Redis is an in-memory key-value store. There are several important functions：
The data structures used for the values
The operations allowed on the data structures
Data persistence
High availability
Below is a high-level diagram of Redis' architecture. Let’s walk through them one by one.
Client Libraries
There are two types of clients to access Redis: one supports connections to the Redis database, and the other builds on top of the former and supports object mappings.
Redis supports a wide range of languages, allowing it to be used in a variety of applications. In addition, the OM client libraries allow us to model, index, and query documents.
Data Operations
Redis has rich support for value data types, including Strings, Lists, Sets, Hashes, etc. As a result, Redis is suitable for a wide range of business scenarios. Depending on the data types, Redis supports different operations.
The basic operations are similar to a relational database, which supports CRUD (Create-Read-Update-Delete):
GET: Retrieve the value of a key
PUT: Create a new key-value pair or update an existing key
DELETE: Delete a key-value pair
The data structures and operations are an important reason why Redis is so efficient. We will cover more in later sections.
In-Memory v.s. On-Disk
Redis holds the data in memory. The data reads and writes in memory are generally 1,000X - 10,000X faster than disk reads/writes. See the below diagram for details.
However, if the server is down, all the data will be lost. So Redis designs on-disk persistence as well for fast recovery.
Redis has 4 options for persistence:
AOF (Append Only File).
AOF works like a commit log, recording each write operation to Redis. So when the server is restarted, the write operations can be replayed and the dataset can be reconstructed.
RDB (Redis Database).
RDB performs point-in-time snapshots at a predefined interval.
AOF and RDB.
This persistence method combines the advantages of both AOF and RDB, which we will cover later.
No persistence.
Persistence can be entirely disabled in Redis. This is sometimes used when Redis is a cache for smaller datasets,
Clustering
Redis uses a leader-follower replication to achieve high availability. We can configure multiple replicas for reads to handle concurrent read requests. These replicas automatically connect to the master after restarts and hold an exact copy of the leader instance.
When the Redis cluster is not used, Redis Sentinel provides high availability including failover, monitoring, and configuration management.
Security and Administration
Redis is often used as a cache and can hold sensitive data, so it is designed to be accessed via trusted clients inside trusted environments. Redis security module is responsible for managing the access control layer and authorizing the valid operations to be performed on the data.
Redis also provides an admin interface for configuring and managing the cluster. Persistence, replication, and security configurations can all be done via the admin interface.
Now we have covered the basic components of Redis architecture, we will dive into the design details that make Redis fast.
In-Memory Data Structures
Redis is not the only in-memory database product in the market. But how can it achieve microsecond-level data access latency and become a popular choice for many companies?
One important reason is that storing data in memory allows for more flexible data structures. These data structures don’t need to go through the process of serialization and deserialization like normal on-disk data structures do, so can be optimized for fast reads and writes.
Key-Value Mappings
Redis uses a hash table to hold all key-value pairs. The elements in the hash table hold the pointers to a key-value pair entry. The diagram below illustrates how the global hash table is structured.
With the hash table, we can look up key-value pairs with O(1) time complexity.
Like all hash tables, when the number of keys keeps growing, there can be hash conflicts, which means different keys fall into the same hash bucket. Redis solves this by chaining the elements in the same hash bucket. When the chains become too long, Redis will perform a rehash by leveraging two global hash tables.
Value Types
The diagram below shows how Redis implements the common data structures. String type has only one implementation, the SDS (Simple Dynamic Strings). List, Hash, Set, and SortedSet all have two types of implementations.
Note that Redis 7.0 changed List implementation to quicklist, and ZipList was replaced by listpack.
Besides these 5 basic data structures, Redis later added more data structures to support more scenarios. The diagram below lists the operations allowed on basic data structures and the usage scenarios.
These data types cover most of the usage of a website. For example, geospatial data stores coordinates that can be used by a ride-hailing application like Uber; HyperLogLog calculates cardinality for massive amounts of data, suitable for counting unique visitors for a large website; Stream is used for message queues and can compensate the problems with List.
Now let’s look at why these underlying implementations are efficient.
SDS
Redis SDS stores sequences of bytes. It operates the data stored in buf array in a binary way, so SDS can store not only text but also binary data like audio, video, and images.
The string length operation on an SDS has a time complexity of O(1) because the length is recorded in len attribute. The space is pre-allocated for an SDS, with free attribute recording the free space for future usage. The SDS API is thus safe, and there is no risk of overflow.
The diagram below shows the attributes of an SDS.
Zip List
A zip list is similar to an array. Each element of the array holds one piece of data. However, unlike an array, a zip list has 3 fields in the header:
zlbytes - the length of the list
zltail - the offset at the end of the list
zllen - the number of entries in the list
The zip list also has a zlend at the end, which indicates the end of the list.
In a zip list, locating the first or the last element is O(1) time complexity because we can directly find them by the fields in the header. Locating other elements needs to go through the elements one by one, and the time complexity is O(N).
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