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COP28: Driving climate action and growth
by "McKinsey & Company" <publishing@email.mckinsey.com> - 11:42 - 30 Nov 2023 -
Unlock Highly Relevant Search with AI
Unlock Highly Relevant Search with AI
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The 6 Most Impactful Ways Redis is Used in Production Systems
The Tech Promotion Algorithm: A Structured Guide to Moving Up
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In today’s issue, we are fortunate to host guest contributor Marcelo Wiermann, Head of Engineering at Y Combinator startup Cococart. He’ll be sharing insights into Cococart’s use of semantic search to power new in-store experiences.
How agile teams can leverage LLMs, Vector Databases, and friends to quickly launch cutting-edge semantic search experiences for fame & profit
It’s remarkable how so many things are made better with great search. Google made it easy for normal folks to find whatever they needed online, no matter how obscure. IntelliJ IDEA’s fuzzy matching and symbol search helped programmers forget the directory structure of their code bases. AirTag added advanced spatial location capabilities to my cat. A well-crafted discovery feature can add that “wow” factor that iconic, habit-forming products have.
In this post, I’ll cover how a fast-moving team can leverage Large Language Models (LLMs), Vector Databases, Machine Learning, and other technologies to create a wow-inspiring search and discovery experience with startup budget and time constraints.
Semantic Search
Semantic Search is a search method for surfacing highly relevant results based on the meaning of the query, context, and content. It goes beyond simple keyword indexing or filtering. It allows users to find things more naturally and with better support for nuance than highly sophisticated but rigid traditional relevancy methods. In practice, it feels like the difference between asking a real person or talking to a machine.
Tech companies across the world are racing to incorporate these capabilities into their existing products. Instacart published an extensive article on how they added semantic deduplication to their search experience. Other companies implementing some form of semantic search include eBay, Shopee, Ikea, Walmart, and many more.
Source: Instacart The motivation for embracing semantic search is simple: more relevant results lead to happier customers and more revenue. Discovery, relevancy, and trustworthiness are some of the hardest problems to solve in e-commerce. An entire ecosystem of solutions exists to help companies address these challenges.
Many solutions today rely on document embeddings - representing meaning as vectors. Since semantic search alone may not provide sufficient relevant hits, traditional full-text search is often used to supplement resuts. A feedback loop based on user interactions (clickes, likes, etc.) provides input to continuously improve relevancy.
The key processes are: indexing, querying, and tracking
Document indexing Indexing is done by converting a document’s content to an embeddings vector through a text-to-vector encoder (e.g. OpenAI’s Embeddings API). The vectors are inserted into a vector database (e.g. Qdrant, Milvus, Pinecone). Text-to-vector encoding models like sentence-transformers convert text snippets into numeric vector representations that capture semantic meaning and similarities between text. Documents are also indexed in a traditional full-text search engine (e.g. Elasticsearch)
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This month’s Remote Global update features two major announcements, insights on remote work, and an on-demand webinar to boost your contractor skills.
This month’s Remote Global update features two major announcements, insights on remote work, and an on-demand webinar to boost your contractor skills.
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Exciting news for businesses seeking top-notch international talent! Remote has launched Remote Talent, a trailblazing platform designed to transform the way companies recruit and manage global teams. Say goodbye to traditional job boards' limitations and hello to a world of opportunities.
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Learning and insights
Return-to-office mandates aren’t working: Most workers are ready to quit for a remote job, even if it means a pay cut.
That’s bad news for bosses who are holding onto the hope of a full office return
How Leaders Can Build Stronger Teams Through Better Conversations
Opening up in the workplace can foster trust, improve morale and even drive better business outcomes.
Gen Zers are saying 'no thanks' to promotions for reasons that go beyond money
For years, the corporate path was clear: Work hard and get promoted! Become a manager! Climb the ladder!
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[Online workshop] Troubleshooting Applications and back end performance with APM 360
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What is COP?
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
•
CFOs’ carbon-cutting efforts. Managing climate risk has climbed to the top of C-suite agendas, and many organizations are aiming to cut greenhouse-gas emissions to net zero by 2050. CFOs must ensure that sustainability initiatives are doable from a financial and operational standpoint, and are folded into companies’ greater business plans, according to the senior vice president and CFO of a global energy company’s North American arm. About 30% of CFOs are leading their organizations’ low-carbon transition strategies, a recent UN report has found. [Fortune]
•
What happened last. Each year, McKinsey convenes global leaders alongside COP to discuss how to implement ambitious climate goals. Based on conversations with leaders and delegates from COP27 last year, McKinsey attendees saw ten main takeaways to accelerate the net-zero transition. The first is that the private sector has a critical role to play, particularly with cross-business collaboration, global coleader of McKinsey Sustainability Daniel Pacthod and colleagues note. See our McKinsey Explainer “What is COP?” for all ten takeaways.
— Edited by Belinda Yu, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 01:17 - 30 Nov 2023 -
Fleet Management Software for the FMCG Industry
Fleet Management Software for the FMCG Industry
Get fleet management software that helps you to get products into stores and avoid losses due to their spoilage. Increase customer satisfaction with more on-time deliveries.
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by "Uffizio Software Technologies Pvt Ltd" <sunny.thakur@uffizio.com> - 07:01 - 29 Nov 2023 -
Generative AI can get a boost from boards
Re:think
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FRESH TAKES ON BIG IDEAS
ON BOARDS AND GEN AI
What are a board’s responsibilities regarding generative AI?Frithjof Lund
Boards are increasingly discussing generative AI (gen AI), but they tend to focus more on the risks than on the business opportunities. The risk side of gen AI is important, of course. In addition to the fundamental risks of business model disruption, there are multiple regulatory, compliance, and governance risks relating to intellectual property, privacy, and data security. There are concerns about the “AI black box”—that is, the lack of transparency around how gen AI arrives at results—and about social biases that may be perpetuated in the data used to train AI algorithms. Accountability for accuracy, the potential for gen AI to stoke misinformation, and even the environmental impact of gen AI’s energy use for data processing all pose additional risks. Given these wide-ranging concerns, boards need to be satisfied that management continually reviews, measures, and audits gen AI activities.
However, it’s even more important for boards to understand the opportunities gen AI presents. This technology has the potential to affect every industry and every part of a company’s operations, including finance, marketing, and strategy. While I do see that some management teams want to move faster on gen AI opportunities than their boards are prepared to, that’s not the case everywhere. Today, boards can catalyze change in the institutions they govern. Often, managers have grown up in one industry or even one company, which gives them a certain view. The board can bring perspectives from other sectors or parts of the world that encourage management to be bolder. By asking the right questions—without crossing the boundary into operational issues—boards can raise management’s aspirations.
Key questions include the following: How will gen AI affect your industry and your company? What is the value at stake? There are already proven, bankable use cases, such as programming, customer engagement, and content creation, in which we see significant productivity increases. Board directors need to understand how this technology affects the competitive environment, because being a front-runner can deliver sustainable advantages.
Another important question boards should ask management is, how will the organization scale gen AI? Here, we can learn from past experiences with technology adoption. In earlier digitization efforts, including process automation and advanced analytics, for example, only one in ten use cases were implemented at scale. This was largely due to people ultimately finding it easier to perform certain tasks the traditional way. We believe the number of scaled applications of gen AI will be even lower. So how do you identify them? How do you organize the leadership structure to guide these initiatives?“In earlier digitization efforts, including process automation and advanced analytics, only one in ten use cases were implemented at scale. We believe the number of scaled applications of gen AI will be even lower.”
The board needs to understand whether an organization has the necessary capabilities, talent, and culture to embrace the changes gen AI requires. This technology will eventually become a commodity. It’s in the organizational capabilities—the change management and cultural adjustments needed to integrate new tools and processes into daily operations—where work has to be done.
Ultimately, directors have to balance the trade-offs between business opportunities and risk management. In numerous discussions with boards, I find only nascent understanding of this technology. To provide oversight and management support, boards will need to build their own capabilities. They can hold deep dive sessions with experts from within or outside the organization. Some boards are testing immersion sessions wherein they work with gen AI tools and explore use cases.
There are also implications for board composition. In the early days of digitization, every board wanted to have one digital director—ideally young, with experience at a major tech company. Most boards have since realized that they actually need a critical mass of directors with digital expertise. Boards also need to consider how to approach oversight. Some are creating technology advisory boards or board committees. Our view is that gen AI will be so fundamental that you will need the entire board to be at least literate in it—you can’t fully outsource it to an advisory panel or a committee.
The question I personally find fascinating is how boards will incorporate this technology into their own work. I can envision directors using gen AI to prepare for meetings or to answer questions they have between them. I think we will see more proprietary, gen AI–powered assistants that help board directors get instant answers. At least one company in Asia has gone so far as to give AI a seat on the board and a vote. That seems extreme to me—until the board gains a high level of trust in the technology, that vote may be challenged—but maybe I’m too conservative.ABOUT THIS AUTHOR
Frithjof Lund is a managing partner in McKinsey’s Oslo office.
MORE FROM THIS AUTHOR
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Ari Libarikian on business building
Now more than ever, CEOs are making the creation of new revenue streams their top strategic priority. Generative AI is a big part of the reason why.
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by "McKinsey Quarterly" <publishing@email.mckinsey.com> - 03:15 - 29 Nov 2023 -
Not all employees are productive. Do you know how to motivate them?
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
•
Feeling invisible. Employees who think they matter to an organization give their best at work, contributing powerfully to a workplace’s productivity and creativity. But in the era of hybrid work, there’s a risk that workers might instead perceive themselves as anonymous faces on a video screen. Roughly a third of US employees say they feel invisible in the workplace, according to a 2023 survey. One strategy to help employees feel affirmed and recognized is to provide opportunities for workers to form friendships with colleagues. [HBR]
•
What lost productivity costs. With the COVID-19 pandemic forcing big changes in how, when, and where people work, companies are struggling to find objective ways to gauge employee effectiveness. It’s a critical challenge as labor costs have increased and worker productivity has declined. Employee disengagement and attrition could cost a median-size S&P 500 company at least $1.1 billion in lost value over five years, McKinsey senior partner Aaron De Smet and coauthors explain.
— Edited by Belinda Yu, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 01:05 - 29 Nov 2023 -
Is your middle manager stuck in the menial?
Five Fifty
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Bogged down by administrivia, middle managers are unable to perform their most crucial task: managing people. Dated assumptions add fuel to the fire, forcing people into roles they aren’t good at and don’t enjoy, say McKinsey’s Emily Field, Bryan Hancock, and Bill Schaninger. It’s time to reenvision the middle tier.
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by "McKinsey Quarterly Five Fifty" <publishing@email.mckinsey.com> - 04:27 - 28 Nov 2023 -
What business books are on your bookshelf?
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
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AI book bot. Publishers are exploring the use of chatbot versions of books. Like a book club’s smartest member, these chatbots can converse with readers about all aspects of any type of book. One start-up has recently launched an AI-based app that can analyze key themes, summarize content, and answer readers’ questions. Chatbot editions of textbooks can be particularly helpful, since the platform can explain material that readers might need clarified, the start-up’s CEO said. [Wired]
•
Timely management issues. In addition to our monthly lists of best-selling business books, on our McKinsey on Books collection page, you can also find books by McKinsey authors on the management issues that matter. These include our takes on topics from leadership and talent to digital transformation, corporate finance, and more. Discover the business books leaders were reading in October 2023, and for our series of interviews with authors of books on business and beyond, visit Author Talks.
— Edited by Belinda Yu, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 01:30 - 28 Nov 2023 -
ตอบสนองความต้องการของลูกค้าได้อย่างคล่องตัว
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by "APC by Schneider Electric" <reply@se.com> - 10:01 - 27 Nov 2023 -
See demos in-action and interact live with our Adobe experts
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Game-Changing Adobe MAX Announcements for Smarter Workflows
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3.00pm AEDT | 12.00pm SGT | 9.30am ISTWhether you attended this year’s Adobe MAX conference on-site in Los Angeles, caught a few sessions online, or missed the live event altogether, you now have the opportunity to join us for a recap, discussion, and celebration of the most important, game-changing Adobe MAX 2023 announcements impacting your teams.
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by "Adobe Creative Cloud for Business" <demand@info.adobe.com> - 09:04 - 27 Nov 2023 -
Fleet Management Software for the Construction Industry
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by "Uffizio Software Technologies Pvt Ltd" <sunny.thakur@uffizio.com> - 07:00 - 27 Nov 2023 -
Register Now for webinar - Workload consolidation of virtual PLCs and AI-applications on Intel® platforms
Register Now for webinar - Workload consolidation of virtual PLCs and AI-applications on Intel® platforms
Workload consolidation of virtual PLCs and AI-applications on Intel® platforms
Live Virtual Training
Thursday, December 7, 2023
08:30 am - 09:45 am PTRegister Now 
Historically, across automated manufacturing floors, many individually computerized and de-centralized workloads, such as image processing, computer vision, networking, AI-inference and others, drove machine operations with different levels of control that enabled manufacturers to scale.
With the Internet of Things (IoT) and digitalization transforming industrial operations, more and more of these controls such as PLC, HMI, PAC, etc are now being centralized onto a common compute platform. Companies seek new ways to consolidate technologies and workloads, processing into as few physical components as possible. Such industry requirements form the basis of industry 4.0 modernization and give way to the principles of software-defined manufacturing on workload consolidation.
Workload consolidation unites multiple computerized operations onto fewer platforms, replacing separate purpose-built hardware machines with a smaller foundation of general-purpose compute technologies. Reducing hardware infrastructure and utilizing more of existing resources helps to optimize operations.
Virtual PLC is one of the most efficient and trending solution to consolidate control applications for Industrial Automation equipment and using containerization or virtualization multiple virtual PLCs, HMIs and AI workloads can run on the same single hardware. In this session you will learn about:
- Workload consolidation concept and modern Intel® Time Coordinated Computing capabilities
- CODESYS Virtual Control
- OpenVINO™Toolkit and how to run OpenVINO™ based applications in containers.
- Live demo consolidating a CODESYS Virtual PLC and an AI-application on the same hardware.
Register Now 
Speakers
Roland Wagner
Head of Product Marketing - CODESYS GmbH
Roland Wagner has been working for CODESYS Group, formerly 3S-Smart Software Solutions, since 1999. As Head of Product Marketing he has demonstrated his broad expertise in training courses and as an author of many technical articles. He is known in the automation world for his numerous presentations at congresses and trade conferences.
Dr. Matthias Hahn
Software Application Engineer- Intel Deutschland GmbH
Matthias Hahn graduated from university of Karlsruhe (now KIT) in computer science. He joined Intel in 2005. In his current role he works as Software Application Engineer within Intel’s Network and Edge Group (NEX) where he supports Real-Time related industrial automation customer projects.
Dmitriy Pastushenkov
Software Architect - Intel Deutschland GmbH
Dmitriy Pastushenkov is a passionate Software Architect at Intel with more than 20 years of comprehensive and international experience in the industrial automation, industrial Internet of Things (IIoT), real-time operating systems and AI. Dmitriy has held various roles in software development and enablement, software architecture and technical management. Dmitriy started the career at Intel in 2022 as a Software Architect. As a NEX Developer Advocate Dmitriy leads developer communities for the multiple NEX products.
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by "Intel Developer Zone" <intel@plan.intel.com> - 12:11 - 27 Nov 2023 -
Don't Miss Out! - Unleashing the power of Generative AI at the edge
Don't Miss Out! - Unleashing the power of Generative AI at the edge
Unleashing the power of Generative AI at the edge
Live Virtual Training
Thursday, November 30, 2023
07:30 am - 08:30 am PSTRegister Now
Generative AI applications have taken the world by storm. Advancements in algorithm development and processing capabilities have been spearheading rapid innovations. Novice learners of AI can find the overload of information overwhelming. This session helps break down some of the common questions about Generative AI. You will learn about:
- What GenAI is (and, what it is not)
- How GenAI is different from other AI methods
- Common GenAI models, capabilities and industry use cases
- Ethical considerations
Challenges and recipes for developing and deploying GenAI applications at scale at the edge.
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Speakers
Vaghesh Patel
Software Developer - Intel Corporation
Vaghesh Patel is a software developer at Intel, specializing in AI, Cloud and Edge Computing solutions. He has adeptly designed and implemented a plethora of solutions centered around generative AI, computer vision, edge solutions, infrastructure management and advanced AI technologies. With an intense passion for reducing the complexity of edge, cloud, and AI-based applications, Vaghesh consistently delivers a streamlined experience for developers. As a natural problem-solver, he continually seeks to innovate and push the boundaries of what's possible with cutting-edge technology.
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by "Intel Corporation" <intel@plan.intel.com> - 12:11 - 27 Nov 2023 -
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by "ByteByteGo" <bytebytego@substack.com> - 11:39 - 27 Nov 2023 -
What’s behind the shift to skills-based hiring?
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
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Barriers to employment. Many employers are no longer requiring job applicants to hold a college degree. Yet despite the global trend toward skills-based hiring, nontraditional and diverse candidates still face substantial challenges. A study of 2,000 US employers found that nearly 75% are focusing on skills when recruiting for some roles. But even when companies have inclusive hiring practices, HR managers who insist on certain requirements may still present a barrier to hiring underrepresented workers, according to the survey. [Fast Company]
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Creating opportunity. Evaluating job candidates based on skills, rather than on credentials like a college degree, can improve diversity and create a more inclusive economy, McKinsey partners Bryan Hancock and Brooke Weddle share on a recent episode of McKinsey Talks Talent. Through skills-based hiring, many organizations are looking to provide more equitable pathways to opportunity for those who lack access to higher education. “If you look at who has the skills but not the degrees, those are disproportionately people of color,” Hancock says.
— Edited by Belinda Yu, editor, Atlanta
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by "McKinsey Week in Charts" <publishing@email.mckinsey.com> - 03:38 - 25 Nov 2023 -
EP87: ByteByteGo System Design Course Black Friday Deals
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ByteByteGo System Design Interview Course Black Friday Deal
Top 8 Most Popular Network Protocols Explained (Youtube video)
System design cheat sheet
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We have already finished the first draft of Volume 3, and the content will be added early next year.Top 8 Most Popular Network Protocols Explained
System design cheat sheet
We are often asked to design for high availability, high scalability, and high throughput. What do they mean exactly?
The diagram below is a system design cheat sheet with common solutions.
High Availability
This means we need to ensure a high agreed level of uptime. We often describe the design target as “3 nines” or “4 nines”. “4 nines”, 99.99% uptime, means the service can only be down 8.64 seconds per day.
To achieve high availability, we need to design redundancy in the system. There are several ways to do this:
- Hot-hot: two instances receive the same input and send the output to the downstream service. In case one side is down, the other side can immediately take over. Since both sides send output to the downstream, the downstream system needs to dedupe.
- Hot-warm: two instances receive the same input and only the hot side sends the output to the downstream service. In case the hot side is down, the warm side takes over and starts to send output to the downstream service.
- Single-leader cluster: one leader instance receives data from the upstream system and replicates to other replicas.
- Leaderless cluster: there is no leader in this type of cluster. Any write will get replicated to other instances. As long as the number of write instances plus the number of read instances are larger than the total number of instances, we should get valid data.High Throughput
This means the service needs to handle a high number of requests given a period of time. Commonly used metrics are QPS (query per second) or TPS (transaction per second).
To achieve high throughput, we often add caches to the architecture so that the request can return without hitting slower I/O devices like databases or disks. We can also increase the number of threads for computation-intensive tasks. However, adding too many threads can deteriorate the performance. We then need to identify the bottlenecks in the system and increase its throughput. Using asynchronous processing can often effectively isolate heavy-lifting components.High Scalability
This means a system can quickly and easily extend to accommodate more volume (horizontal scalability) or more functionalities (vertical scalability). Normally we watch the response time to decide if we need to scale the system.
Over to you: Do you have other things to share in your design toolbox?
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