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ค้นหาโซลูชันที่เหมาะสมเพื่อขยายธุรกิจของคุณบอกเราเล็กน้อยเกี่ยวกับแนวปฏิบัติด้านบริการการจัดการที่มีอยู่ของคุณ แล้วเราจะช่วยระบุว่าข้อเสนอซอฟต์แวร์เอดจ์และบริการดิจิทัลใดที่อาจสอดคล้องกับแรงบันดาลใจทางธุรกิจของคุณได้ดีที่สุด
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by "APC by Schneider Electric" <reply@se.com> - 11:00 - 26 Jun 2023 -
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API Exploration for TestersJoin us June 28th or 29th to learn more about API Exploration for Testers
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This is our third session in our API Exploration persona webinar series. In this series, we're showcasing how API exploration can kickstart your API journey before you embark on advanced testing tools for APIs. 
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by "The SwaggerHub Team" <swaggerhub-team@smartbearmail.com> - 03:42 - 26 Jun 2023 -
What’s new in innovation: A leader’s guide
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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
When the COVID-19 pandemic triggered business shutdowns, you’d have expected innovation to shut down too—but quite the opposite happened. Companies made digital leaps that they would have considered almost impossible just a few years earlier. That heady pace of innovation continues today as digital technologies, virtual collaboration, and start-up fervor enable countries worldwide to hop on the innovation bandwagon. Here are some highlights of what’s happening.
“More than 85 percent of innovation practitioners report that fear often or always holds back innovation,” says McKinsey senior partner Laura Furstenthal. “But only a quarter of organizations understand this fear, and fewer than 11 percent are doing anything about it.” Leading innovators use special techniques to counter fear: for example, by replacing the word “pilot” with “pioneer,” one company signaled that it saw ideas that didn’t work as steps on the way forward, not as failures. Cultural issues and turf wars can stifle innovation, as can the lack of a disciplined capital strategy. McKinsey senior partner Erik Roth observes that “ultimately, innovation is a resource allocation problem. When your strategy orients resources toward incremental improvements in the core business, including both people and funds, it’s hard for organizations to go after the best opportunities, which often are not in the core.”
That’s the number of steps we suggest in our new playbook for building and nurturing innovation hubs—geographic areas that bring together research institutions, entrepreneurs, governments, investors, and other stakeholders to fund and develop ideas. To attract capital, companies may need to acquire strengths across an integrated “innovation funnel” that spans four areas: idea generation and R&D, commercialization, start-up and early-stage development, and growth. “Understanding the root cause of gaps can help target effective solutions for bridging them,” note McKinsey partner Ben Safran and colleagues. “If a location has low VC funding, for example, either a lack of investment vehicles or of funding opportunities in the region could be responsible. These distinct challenges would require distinct solutions.”
That’s McKinsey’s Matt Banholzer, Michael Birshan, Rebecca Doherty, and Laura LaBerge on why playing it safe can be riskier than innovation in a disruptive environment. For example, one company saw a threefold jump in revenue after refocusing its innovation efforts on bolder initiatives with higher commercial potential. Another organization cut costs through incremental innovations so that it could invest the savings in more ambitious projects. Applying the concept of a “green box” may help: the box represents the value that a company expects to gain from all forms of innovation over a specific planning period. This value could be quantified using metrics such as net new revenue, earnings growth, or both.
Developing a new idea is “not about waiting for an aha moment,” says Columbia Business School professor Sheena Iyengar in a discussion with McKinsey. “It’s not about going out and brainstorming. It’s what you can actually do, step by step.” In her recent book, Think Bigger: How to Innovate (Columbia Business School Publishing, April 2023), Iyengar lays out a six-step approach to innovation that relies on simple, practical ways of problem solving. For example, step two advocates breaking down a problem into its most important pieces. “You’re never going to solve everything,” says Iyengar. “I call it ‘the 80 percent rule.’ . . . If I were to solve for these three to five different subparts, then I’ll solve for about 80 percent of my problem.” When basketball inventor James Naismith was charged with creating an indoor sport, a subpart of his problem was setting up a goal for throwing a ball—such as a soccer ball—in a confined space. “He took a peach basket, and he made a hole in it. ‘What if we throw the soccer ball into that?’”
“The creative process is fabulously unpredictable,” says former Apple chief design officer Jony Ive. “A great idea cannot be predicted.” History is rife with examples of inventions that happened by accident. And many things in use today were ridiculed when they first appeared—airplanes, for example, were reportedly dismissed as “interesting scientific toys . . . with no military value.” But even an extraordinary idea may stay stuck in neutral if it doesn’t address practical issues. “The difference between an idea and a product is that you’ve solved the problems,” says Ive. “If they can be solved, the idea transitions into becoming a thing. If they can’t, it remains an idea.”
Lead innovatively.
— Edited by Rama Ramaswami, senior editor, New York
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by "McKinsey Leading Off" <publishing@email.mckinsey.com> - 02:48 - 26 Jun 2023 -
How may generative AI reshape HR? By freeing humans to focus on what they do best.
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
• AI’s promise. Generative AI has the potential to take over much of the rote administrative work that goes into hiring, evaluating, and developing employees, explain McKinsey senior partner Lareina Yee, senior partner emeritus Bill Schaninger, and partner Bryan Hancock. The promise of AI for human resources includes using it to diversify workforces. AI is great at tagging, meaning it can identify job applications that mention the specific skills a job requires, liberating employers from solely relying on credentials and degrees as proxies for expertise.
— Edited by Katy McLaughlin, senior editor, Southern California
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:44 - 26 Jun 2023 -
ตัวช่วยปรับปรุงคุณภาพระบบไฟฟ้าให้ดีขึ้น จาก ชไนเดอร์ อิเล็คทริค
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EasyLogic™ APFEasyLogic™ APF (Multi-function active power filter) ช่วยปรับปรุงคุณภาพไฟฟ้าให้ดีขึ้น ซึ่งเป็นหนึ่งในสาเหตุของเครื่องจักรทำงานขัดข้อง, มอเตอร์และหม้อแปลงร้อนเกินไป, ตัวเก็บประจุทำงานผิดปกติ, เบรกเกอร์ทริปบ่อย, ฟิวส์ขาดบ่อย, PLC และคอมพิเตอร์ขัดข้อง หรือหลอดไฟกระพริบ
สามารถกำจัดฮาร์มอนิกออกจากระบบไฟฟ้าได้ โดยจะตรวจวัดฮาร์มอนิก และจ่ายกระแสฮาร์มอนิกออกมาในทิศทางตรงกันข้าม เพื่อหักล้างกับฮาร์มอนิกที่เกิดขึ้นให้หมดไป อีกทั้งยังสามารถชดเชยปัญหาคุณภาพไฟฟ้าอื่นๆได้ เช่น ค่าเพาเวอร์แฟคเตอร์ต่ำ และช่วยป้องกันกระแสไฟแต่ละเฟสไม่สมดุลย์ด้วย
ติดตั้งง่าย ทนทานหลากหลายรูปแบบการใช้งานทั้ง Wall Mount และ Rack หร้อม IP20 และ IP31
การจัดการแบบ Three-level (IGBT)เพิ่มความสามารถในการลดค่าฮาร์มอนิกได้อย่างมีประสิทธิภาพและรวดเร็ว (≤ 2 cycles) และ THDi ≤ 5% (ความสามารถการกำจัดค่าฮาร์มอนิก> 92%)
เพิ่มศักยภาพในการทำงานสามารถจัดการฮาร์มอนิกลำดับที่ 2 ถึง ลำดับที่ 31 และสามารถติดตั้งเป็นระบบต่อเชื่อมกันสูงสุดถึง 8 ตัว
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by "Schneider Electric" <reply@se.com> - 09:01 - 25 Jun 2023 -
Top ten articles this quarter
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Our top ten articles this quarter look at generative AI, the evolving CEO role, and more. At No. 1, Michael Chui, Roger Roberts, Tanya Rodchenko, Alex Singla, Alex Sukharevsky, Lareina Yee, and Delphine Zurkiya help CEOs and their teams reflect on the value creation case for generative AI and how to start their journey.
7. What is AI?
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by "McKinsey Top Ten" <publishing@email.mckinsey.com> - 03:15 - 25 Jun 2023 -
The week in charts
The Week in Charts
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by "McKinsey Week in Charts" <publishing@email.mckinsey.com> - 03:45 - 24 Jun 2023 -
EP65: What Is A Webhook
EP65: What Is A Webhook
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What is a webhook
8 Key OOP Concepts Every Developer Should Know
Shipping code to production and ensuring code quality
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Stack Overflow's Architecture: A Very Interesting Case Study
What is a webhook?
The diagram below shows a comparison between polling and webhook.
Assume we run an eCommerce website. The clients send orders to the order service via the API gateway, which goes to the payment service for payment transactions. The payment service then talks to an external payment service provider (PSP) to complete the transactions.
There are two ways to handle communications with the external PSP.1. Short polling
After sending the payment request to the PSP, the payment service keeps asking the PSP about the payment status. After several rounds, the PSP finally returns with the status.
Short polling has two drawbacks:
1) Constant polling of the status requires resources from the payment service.
2) The External service communicates directly with the payment service, creating security vulnerabilities.2. Webhook
We can register a webhook with the external service. It means: call me back at a certain URL when you have updates on the request. When the PSP has completed the processing, it will invoke the HTTP request to update the payment status.
In this way, the programming paradigm is changed, and the payment service doesn’t need to waste resources to poll the payment status anymore.
What if the PSP never calls back? We can set up a housekeeping job to check payment status every hour.
Webhooks are often referred to as reverse APIs or push APIs because the server sends HTTP requests to the client. We need to pay attention to 3 things when using a webhook:We need to design a proper API for the external service to call.
We need to set up proper rules in the API gateway for security reasons.
We need to register the correct URL at the external service.
8 Key OOP Concepts Every Developer Should Know
Object-Oriented Programming (OOP) has been around since the 1960s, but it really took off in the 1990s with languages like Java and C++.
Why is OOP Important? OOP allows you to create blueprints (called classes) for digital objects, and these objects know how to communicate with one another to make amazing things happen in your software. Having a well-organized toolbox rather than a jumbled drawer of tools makes your code tidier and easier to change.
In order to get to grips with OOP, think of it as creating digital Lego blocks that can be combined in countless ways. Take a book or watch some tutorials, and then practice writing code - there's no better way to learn than to practice!
Don't be afraid of OOP - it's a powerful tool in your coder's toolbox, and with some practice, you'll be able to develop everything from nifty apps to digital skyscrapers!What tools does your team use to ship code to production and ensure code quality?
The approach generally depends on the size of the company. There is no one-size-fits-all solution, but we try to provide a general overview.
1-10 employees: In the early stages of a company, the focus is on finding a product-market fit. The emphasis is primarily on delivery and experimentation. Utilizing existing free or low-cost tools, developers handle testing and deployment. They also pay close attention to customer feedback and reports.
10-100 employees: Once the product-market fit is found, companies strive to scale. They are able to invest more in quality for critical functionalities and can create rapid evolution processes, such as scheduled deployments and testing procedures. Companies also proactively establish customer support processes to handle customer issues and provide proactive alerts.
100-1,000 employees: When a company's go-to-market strategy proves successful, and the product scales and grows rapidly, it starts to optimize its engineering efficiency. More commercial tools can be purchased, such as Atlassian products. A certain level of standardization across tools is introduced, and automation comes into play.
1,000-10,000+ employees: Large tech companies build experimental tooling and automation to ensure quality and gather customer feedback at scale. Netflix, for example, is well known for its "Test in Production" strategy, which conducts everything through experiments.
Over to you: Every company is unique. What stage is your company currently at, and what tools do you use?Developer Roadmaps
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by "ByteByteGo" <bytebytego@substack.com> - 11:36 - 24 Jun 2023 -
Are creative companies profitable companies?
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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
Linking creativity to business performance
This past week, the Cannes Lions International Festival of Creativity held its 70th annual ceremony honoring the world’s top advertising, marketing, and communications companies. And while no CEO worth their salt would deny the importance of creativity in the workplace, does creativity translate into actual business value? That’s what the authors of this classic McKinsey article set out to find.
Using the Lions awards as a proxy for creativity, the authors found that the most creative companies in their study exhibited four business practices that spurred both innovation and growth. These companies bake creativity and innovation into all corners of the organization—from shop floor to top floor. They are fanatical about understanding their customers. They move quickly, translating insights into action faster than their competitors. And they constantly adapt, using data and early market signals to inform decisions after product launches.
As senior partner Jesko Perrey and coauthors implored our readers: “With an increasing focus on the science of marketing—including performance marketing, marketing AI, and advanced analytics—it’s important not to forget about the art of marketing.” Words of wisdom for any business leader looking to foster creativity in their workers—and then reap the benefits.
To learn more, read our 2017 classic “Creativity’s bottom line: How winning companies turn creativity into business value and growth.”Get creative 
‘The creative process is fabulously unpredictable. A great idea cannot be predicted’
(Extremely) out of office: Let nature boost your team’s creativity and performance
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 11:26 - 24 Jun 2023 -
We missed you at the OpenVINO Toolkit 2023.0 workshop
We missed you at the OpenVINO Toolkit 2023.0 workshop
OpenVINO™ 2023.0 – See What’s New
Watch on-demand 
We're sorry we missed you at the OpenVINO™ Toolkit 2023.0 workshop on what’s new.
You can now watch it on-demand anytime.
Watch to learn about:
- Auto importing and converting models from TensorFlow
- Expanded model support such as Segment Anything, GPT-J, and YOLOv8
- Gaining efficiencies on Intel Core with thread scheduling
You can now watch it again, anytime on-demand.
Watch now 
Don’t Stop There
- Watch tutorials, view use cases and see all the toolkit options at openvino.ai
- Download your free version of Intel® Distribution of OpenVINO™ toolkit and
- Explore the OpenVINO™ toolkit Github repository of Jupyter Notebooks, Training Extensions, Models, and more…
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by "Intel Developer Zone" <intel.developer.zone@plan.intel.com> - 08:26 - 23 Jun 2023 -
DevCon Workshop: Harness Generative AI Acceleration
DevCon Workshop: Harness Generative AI Acceleration
Harness Generative AI Acceleration with OpenVINO™ Toolkit
July 12, 2023; 7PM-8PM IST
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Md Abul,
Generative AI is exploding, bringing potential AI applications that could change everything we do. In this workshop, we'll delve into the world of transformer models, including Stable Diffusions and text processing, as well as explore how we've optimized these models to run on Intel’s wide variety of hardware.
What you’ll learn:
- Using Huggingface Transformers to create powerful AI solutions quickly
- Deploying stable diffusion and text processing from sophisticated Jupyter Notebooks
- AI applications can scale across GPUs and CPUs heterogeneously with Intel® Hardware
- How dynamic shape optimization maximizes Deep Learning performance
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Anisha has a passion for the OpenVINO™ toolkit that she brings to leveraging AI, Augmented Reality, Virtual Reality, Robotics, and XR to build rapid prototypes and vision-based retail solutions.Upcoming DevCon Webinars
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by "Intel Developer Zone" <intel.developer.zone@plan.intel.com> - 05:41 - 23 Jun 2023 -
Registration closing: Md Abul, don’t miss this benchmarking AI webinar
Registration closing:Md Abul, don’t miss this benchmarking AI webinar
Benchmark AI apps on Intel® hardware with RHODS and Intel® Developer Cloud for the Edge
June 29, 8:30-9:30am PDT
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Md Abul,
Please join us for our upcoming webinar on AI application benchmarking. Cohosted by experts from Intel and Red Hat, this webinar will explore how AI developers can benchmark applications on Intel® hardware through the Red Hat® OpenShift® Data Science Platform (RHODS). Attendees will learn how to:- Leverage the Intel® Developer Cloud for the Edge-Container Playground as REST APIs from within RHODS
- Benchmark AI applications using the OpenVINO™ Toolkit on Intel® CPUs, integrated GPUs, and discrete GPU hardware
- Test solutions on Intel® hardware hosted on the Container Playground
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AI Developer Evangelist, Intel Corporation
Meghana Rao is a Technical Marketing Engineer at Intel and serves as a developer evangelist for Intel family of products and solutions. In her current role as an AI evangelist, she works closely with universities and developers in evangelizing Intel’s AI portfolio and solutions, helping them understand Machine Learning and Deep Learning concepts, technologies, and platforms.
Audrey (Guidera) Reznik
Sr. Principal Software Engineer at Red Hat
Audrey Reznik has been in the IT industry (private and public sectors) for 27 years in multiple verticals. Audrey was instrumental in educating scientists about what the OpenShift platform was and how to use OpenShift containers (images) to organize, run, and visualize data analysis results. Audrey now focuses on next-generation applications. She is passionate about Data Science and in particular the current opportunities with Machine Learning and Federated Data.
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by "Intel Developer Zone" <intel.developer.zone@plan.intel.com> - 04:54 - 23 Jun 2023 -
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by "ByteByteGo" <bytebytego@substack.com> - 02:24 - 23 Jun 2023 -
Competition for tech talent is fierce. Can carmakers capture the workers they need?
On Point
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