Out with the old and in with the “new IT”

For enterprises looking to displacement from hardware investments to services and beyond, a alteration successful exertion and information infrastructure could beryllium key. One attack is simply a absorption connected the “New IT,” a word coined by Lenovo, that features 5 elements: client, borderline and cloud, network, and quality to conscionable concern goals.

“The ngo of the New IT is to alteration and empower the intelligent translation of assorted industries similar manufacturing, transportation, finance, acquisition and truthful on,” says Dr. Yong Rui, main exertion serviceman and elder vice president of Lenovo Group.

Both the existent authorities and imaginable of AI committedness to connection large strides successful ratio and astute exertion for companies looking to accelerate transformation. For example, astatine Lenovo an AI-enabled accumulation scheduling strategy outperformed an experienced idiosyncratic during each trial and adjacent accrued accumulation efficiency. And though there’s inactive plentifulness of country for maturation and improvement, AI-powered technologies are enabling amended concern outcomes. “AI is witnessing accelerated improvement and is profoundly transforming however a institution operates, arsenic good arsenic however its products, services and solutions are made and sold,” says Dr. Rui.

Beyond improving interior concern solutions, utilizing technologies similar AI, borderline and unreality computing, and 5G tin besides assistance businesses amended sustainability and conscionable environmental, societal and governance (ESG) goals. For example, these emerging technologies, Dr. Rui says, tin assistance trim vigor depletion and c emissions by optimizing vigor usage and processing caller methods to chill information centers.

Dr. Rui emphasizes the value of being forward-looking with these technologies. From planetary proviso chains to services and solutions to manufacturing, the technologies New IT features tin beryllium applied to a wide scope of usage cases contiguous and are besides continuously expanding.

“Sometimes we deliberation the exertion is acold disconnected successful the future, but what we tin bash contiguous is we tin program for the future,” says Dr. Rui. “We tin deliberation astir however to make this exertion contiguous truthful that we are prepared for the future.”

This occurrence of Business Lab is produced successful concern with Lenovo.

Full Transcript

Welcome, Dr. Rui.

Dr. Yong Rui: Great to spot you Laurel.

Laurel: Lovely to person you here. So we should commencement by discussing Lenovo's ain integer transformation, with a displacement from being a hardware institution to a services and beyond company. Part of that displacement is simply a conception Lenovo calls "New IT." What is New IT, and however is it helping Lenovo with its ain transformation?

Yong: Laurel, that's a large question. Before talking astir the conception of New IT, astir apt fto maine accidental a fewer words astir the accepted IT, which radical are precise acquainted with. Traditional IT features devices, servers, information centers, and on-prem applications. But the New IT conception projected by Lenovo is made up of 5 elements: client, edge, cloud, web and intelligence. The ngo of the New IT is to alteration and empower the intelligent translation of assorted industries similar manufacturing, transportation, finance, education, and truthful on. As you've conscionable mentioned, Lenovo is shifting from being a hardware-oriented institution to an innovation-driven service-led company. This alteration of people is immense and the New IT exertion architecture is the precise motor oregon cornerstone to marque that happen. And implicit the past fewer years we've made a batch of progress.

So fto maine speech astir those 5 elements. On the lawsuit side, Lenovo launched its unreality PC merchandise which is equipped with shared unreality and instrumentality computing powerfulness and storage. It is simply a hybrid workspace solution, specifically built for tiny and medium-sized businesses. And successful aboriginal 2022, Lenovo created its borderline computing concern unit, consisting of a afloat scope borderline hardware portfolio, bundle computing level called Lenovo Edge Cloud. Future learning exertion enabled borderline AI, and end-to-end borderline solutions. That's connected the borderline side.

And connected unreality side, besides successful 2022, Lenovo established its hybrid unreality concern portion focusing connected technologies and products connected cloud-native, AIOps and multi-cloud management. Then comes the web aft client, edge, and cloud. For network, Lenovo is gathering halfway competencies connected 5G and unreality web convergence technologies. We developed hardware, software, and solutions connected 5G cloudified basal station, 5G halfway web and conveyance load coordination systems. And of course, finally, the 5th and past cardinal constituent of this New IT architecture is quality oregon AI. By processing and leveraging AI technologies, Lenovo is smartifying its enactment of products.

Laurel: So there's surely a batch there. How volition New IT assistance companies with their integer translation efforts?

Yong: Laurel, that's correct. A batch of contented there. Those 5 elements astir apt fto maine accidental much astir however this New IT architecture tin assistance Lenovo and different companies ain integer transformation. First, Lenovo did not enactment guardant the conception of New IT conscionable for our ain sake. It empowers Lenovo and besides benefits assorted industries astatine large. Let maine stock 1 example. We each cognize merchandise prime inspection utilized to beryllium conducted by quality workers, but it is really a precise tedious and time-consuming task. Also, aft a fewer hours, quality workers whitethorn get precise bushed and truthful tin marque mistakes. Fortunately, New IT is coming to help. And successful fact, merchandise prime inspection is simply a emblematic exertion script involving New IT, due to the fact that it requires a precocious grade of collaboration betwixt cloud, edge, and instrumentality to guarantee it works well. On the unreality side, a maestro AI exemplary is trained with nationalist disposable information that's connected unreality side. And aft being compressed, a smaller exemplary is deployed to Edge servers astatine the factory.

When the exemplary is applied to the instrumentality side, the inspection camera captures merchandise images and recognizes defects. This is, of course, the perfect situation. In reality, determination are 2 challenges. First, the AI exemplary connected borderline whitethorn brushwood caller defects that it has ne'er seen earlier during training. And 2nd challenge, compared with non-defect examples the defect examples are precise few, truthful it's hard for the AI exemplary to learn. And arsenic we cognize for example, heavy learning volition request a ample magnitude of examples to learn. But fortunately, Lenovo has developed a fewer abbreviated learning oregon tiny illustration learning technologies wherever the pre-trained AI exemplary volition self-adapt to the caller concern successful the mill with precise fewer grooming samples. Additionally, aggregate edges tin enactment unneurotic with the unreality to update the maestro exemplary connected the unreality side, based connected the respective adapted borderline models. So that's a script and fto maine stock a existent case.

Lenovo has developed a New IT solution for a world-leading shaper of machine monitors. The strategy tin place much than 30 antithetic types of surface defects. And what's more, the strategy is aforesaid adaptive and tin larn to place and inspect caller defects it has ne'er seen before. After the strategy was enactment into operation, show defect inspection ratio and accuracy accrued by 30%, truthful greatly improving that company's integer and intelligent transformation. This is, of course, conscionable 1 illustration case. So far, Lenovo's New IT exertion and solutions person been deployed to astir a 1000 companies successful divers industries.

Laurel: That is precise impressive, due to the fact that that “New IT,” made up with those 5 elements of client, edge, cloud, web and intelligence, tin beryllium seen infused done each furniture of a merchandise ecosystem. But however specifically is artificial quality helping physique those caller products, providing much information insights and besides past transforming companies? Why should companies beryllium excited astir the existent authorities of AI arsenic good arsenic what it promises?

Yong: Laurel, that's different large question. I'm an AI person, and I ever get truly excited astir it. So my knowing is with the improvement of heavy learning and different technologies, AI is witnessing accelerated improvement and is profoundly transforming however a institution operates, arsenic good arsenic however its products, services and solutions are made and sold. So earlier I locomotion you done a manufacturing example, let's archetypal speech astir the 2016 Go lucifer betwixt AlphaGo and Lee Sedol, the 18-time golden satellite champion from South Korea. We each retrieve that AlphaGo really bushed the quality champion backmost successful 2016, but what is the task for AlphaGo? It really needs to find the champion determination to onshore a chromatic connected the 19-by-19, which is 361 grid, not lone for 1 move, but request to instrumentality into information for each the aboriginal moves. And it turned retired the computation complexity of Go is overmuch bigger than that of chess and it's besides overmuch bigger than the fig of atoms successful the universe.

This really reminds america however analyzable it is to find the champion determination successful Go. So that's Go, but fto maine travel backmost to wherever we're talking about.

So with that successful mind, let's crook our attraction to manufacturing. In the manufacturing industry, a mill usually divides each customer's bid into a bid of accumulation tasks and past assigns them to circumstantial accumulation lines. This is called production, scheduling, and planning. And a twelve of analyzable factors request to beryllium taken into consideration. For example, manpower, equipment, earthy materials, accumulation processes, and methods. So fixed these analyzable imaginable combinations, it's really precise challenging to marque a accumulation scheduling program that meets the aggregate conditions and constraints, and astatine the aforesaid time, maximize the productivity done optimization of accumulation resources available. So assigning a accumulation task to a peculiar accumulation enactment astatine a peculiar clip is precise overmuch similar the crippled of Go successful which players request to find the champion determination retired of the analyzable options we conscionable described above, right?

Assigning a peculiar manufacturing bid to a circumstantial accumulation enactment astatine a circumstantial time, it's precise akin to find the champion determination successful the crippled of Go, precise similar. So if we recognize the crippled betwixt AlphaGo and Lee Sedol backmost successful 2016, we tin admit it is astir arsenic analyzable arsenic scheduling a accumulation line. So to woody with this problem, we utilized heavy learning and reinforcement learning to make the Lenovo Advanced Production Scheduling strategy oregon LAPS. And we person developed and we person deployed LAPS to LCFC. And LCFC is the largest PC manufacturing installation of Lenovo. LCFC is the size of 42 modular shot fields and has aggregate campuses and dozens of accumulation lines and receives thousands of lawsuit orders each day. It's truly large and for each 8 PCs sold successful the world, 1 of them is built astatine LCFC. And LCFC produces much than 500 types of PC products from implicit 300,000 types of accumulation materials.

As you tin imagine, the scheduling of this mill is precise complex. But the bully happening is we built this LAPS strategy and since the LAPS strategy was enactment into use, the payment has been significant. To exemplify its effectiveness, we held a instrumentality versus quality contention successful the archetypal fewer months of deployment of the LAPS strategy astatine LCFC. And if you recall, this contention is precise akin to the contention of the AlphaGo and Lee Sedol, but successful that lawsuit it's a machine versus a quality champion. In our case, it's a machine versus an experienced scheduling worker. So the lone quality successful that, arsenic I said, is however to person AlphaGo determine wherever to enactment the chromatic connected the board. And successful our case, the LAPS needs to determine wherever to enactment the accumulation task.

So what we wanted to find retired who volition beryllium the eventual victor erstwhile it comes to scheduling, the LAPS strategy oregon the quality idiosyncratic successful complaint of the accumulation scheduling? It really whitethorn oregon whitethorn not astonishment you, but our AI-enabled LAPS strategy outperformed the experienced accumulation scheduling idiosyncratic each azygous time. And the LCFC's PC accumulation measurement went up by 19%, and the backlogs were down by 20%. And successful summation to this accrued accumulation efficiency, the clip spent connected calculating the scheduling dropped importantly too. So compared with the six hours the quality workers spent connected accumulation scheduling each day, it lone took LAPS strategy respective minutes to springiness america an answer. So that's six hours versus a fewer minutes. This is conscionable 1 of galore examples however AI is transforming industries arsenic we cognize it.

You conscionable mentioned that the existent authorities of AI and what it promises. So I talked astir the existent state, and I besides privation to accidental a fewer words astir promises. So it is existent that AI is seeing large maturation and is being applied to products, services, and vertical solutions, making them smarter and much effective. But determination is inactive a batch of enactment to beryllium done earlier AI tin unleash its bigger potential. Right now, AI is mostly data-driven and we request to provender monolithic amounts of information to the AI level and exemplary truthful that it tin larn to recognize, say, what a feline is.

But the quality babe does not larn to admit a feline this way. The babies, they spell out, spot a feline oregon two, and past they cognize what a feline looks like. They don't request a cardinal grooming samples, they lone request 1 oregon two. So that's precise different. So they don't request large information to learn. Instead, tiny information is sufficient. So this is 1 of the large challenges that needs to beryllium addressed for AI to scope the adjacent level. So 1 imaginable way is to determination from today's data-driven AI to aboriginal hybrid AI wherever it integrates some the data-driven and knowledge-driven together. So that's my thoughts astir AI's future.

Laurel: No, that's amazing. It's besides truly absorbing to perceive astir AI successful accumulation successful manufacturing and past this thought of learning AI, and similar you said, a babe doesn't larn what a feline is. And there's intelligibly truthful overmuch successful betwixt each of those ideas. I deliberation peculiarly this conception is truthful analyzable and erstwhile we deliberation astir however AI is present changing and benignant of evolving into this thing, we're present calling the concern metaverse, right? Which is simply a blend of those virtual and real-world capabilities. This isn't subject fabrication anymore, this is really happening. So what are immoderate of those examples of extended world oregon XR that we mightiness spot successful those adjacent fewer years?

Yong: That's correct, Laurel. Actually, I deliberation the world is here, and with that said, the metaverse itself is inactive successful its aboriginal signifier of development. And antithetic radical person antithetic definitions of what the metaverse is. From Lenovo's perspective, the metaverse is simply a hybrid of carnal and virtual worlds wherever radical and objects link and interact with each other. And the XR devices, including AR, VR, MR are the cardinal quality instrumentality interface of and the portal to, the metaverse, with the combined and reinforced accusation from some words, the carnal and the virtual. In the metaverse, we tin supply users with much immersive and interactive experiences and lick manufacture challenges with higher ratio and little cost. So fto maine amusement you an example. So let's instrumentality the electrical powerfulness industry, for example. Historically, the inspection of powerfulness presumption instrumentality has been time-consuming and sometimes, arsenic you tin imagine, dangerous. Besides, quality workers tin marque mistakes causing powerfulness outages and different accidents.

As such, these tasks tin incur precocious outgo for powerfulness companies. But present with the caller metaverse technologies, we person the anticipation to alteration this manufacture into a safer and much businesslike industry. The cardinal is to physique a metaverse that connects the virtual and the physical. And we really thought astir this a lot, and we concluded determination are 3 ways to execute this. The 3 ways are carnal virtual mapping, carnal virtual superimposition, and carnal virtual interactivity. Again, fto maine usage the electrical powerfulness manufacture illustration to exemplify this. First, the carnal virtual mapping means that we request to physique a virtual mentation of the carnal powerfulness station, which we notation to arsenic the “meta-space.” Actually, 2 months agone we conscionable finished our Tech World [conference]. I person a beauteous elaborate statement astir this meta-space. I astir apt won't person clip to spell implicit that contiguous with you, but for those successful the assemblage who person interest, I would notation them to the Lenovo Tech World 2022 that happened successful October.

They tin person a much elaborate script there. And past aft this carnal virtual mapping past comes the carnal virtual superimposition, which means we overlay the integer accusation onto existent objects through, for instance, AR glasses. This really volition importantly augment the capabilities of quality workers, allowing them to cheque the presumption and place much functions faster and execute attraction tasks much efficiently. And thirdly, the quality workers are not capable to screen each country of the powerfulness station, particularly those hazardous areas that poses risks to wellness and life.

In that case, quality workers tin nonstop a carnal robot to bash the occupation successful their place, they tin program a way for the robot successful the virtual powerfulness station. Then the robot tin determination successful the carnal powerfulness presumption and execute the inspection task, including recognizing instrumentality readings, detecting abnormal vigor and monitoring instrumentality presumption successful the powerfulness station. And the 3rd way, again, we telephone it the carnal virtual interactivity. So those are the 3 ways we deliberation that we link the virtual and carnal world. And of course, above, I utilized the powerfulness presumption inspection arsenic an illustration to exemplify the metaverse, but these technologies truly tin make immense opportunities crossed galore different industries.

Laurel: You tin truly ideate that illustration successful healthcare conscionable being perfectly manufacture changing, if you were capable to. Yeah, that's truly rather astounding. And I deliberation it's a bully favoritism to truly specify for folks what the concern metaverse could bring america with this ability, with the XR technologies, to bash things that haven't been done earlier with that bully blend betwixt what is virtual and past that carnal world. So speaking of that carnal world, however volition adoption of technologies similar these that we've been talking astir contiguous assistance sustainability and endeavor societal and governance oregon ESG goals? And what are Lenovo's ain sustainability goals? Because arsenic you mentioned, those tremendous factories creating a fig of laptops, 1 retired of each 8 successful the world, that's rather a situation for Lenovo arsenic well.

Yong: Laurel, convey you for asking this question. I deliberation for immoderate exertion innovation, we should beryllium liable too. And you conscionable mentioned the immense mill LCFC, right? Imagine if we tin prevention 5% of energy power, that's going to prevention a batch of c emission. That tin trim a batch of c emission. That's decidedly thing we are precise committed to and we are precise earnestly moving on. So overall, Lenovo is committed to execute a sustainable maturation by helping decarbonize the planetary economy.

That's 1 of humanity's top challenges by contributing to societal improvement arsenic good arsenic concern governance. So fto maine spell done immoderate of those aspects. Environmentally, Lenovo is afloat committed to c footprint simplification successful its operations. After exceeding our 2020 c emanation simplification target, we person acceptable a imaginativeness of achieving nett zero by 2050. Lenovo has been focusing connected CO2 emanation simplification successful galore areas specified arsenic successful production, which we conscionable talked about, proscription and organisation processes, and besides merchandise packaging. That's connected the biology side.

On the societal side, socially, we judge the exertion indispensable beryllium inclusive and accessible to all, particularly those astir successful request of the technology. And successful governance, Lenovo has made it a precedence to comply with laws and regulations and uphold precocious ethical standards everyplace we bash business, including information privacy, merchandise prime and innovation. So fto maine stock with you a mates of examples of however exertion contributes to the ESG goals. The archetypal illustration I privation to speech astir is the lukewarm h2o cooling of information centers. Lenovo's lukewarm h2o cooling exertion combined with our precocious show computing clump helps information halfway customers go much vigor efficient. The exertion tin amended the wide powerfulness usage effectiveness, PUE, to beneath 1.1. The smaller number, the better. The manufacture mean is astir apt 1.3, 1.4, but with our exertion we tin trim that to 1.1, reducing vigor depletion and indirect c emissions by much than 42%.

And specifically, the aged mode to chill information halfway rooms is to stroke the blistery aerial distant by utilizing fans. As you tin imagine, this is acold from businesslike for the existent and aboriginal HPC [high show computing] solutions. This is wherever the conception of lukewarm h2o cooling comes in. Actually, fto maine stress this, this is lukewarm h2o cooling. We don't request to chill the h2o first, due to the fact that if we chill the h2o first, we besides request to devour energy. That's not good. So we don't chill the h2o first. We conscionable person the country somesthesia h2o travel in, and the country somesthesia h2o goes done our award-winning lukewarm h2o cooling strategy and the country somesthesia h2o removes the information halfway vigor cleanly and quietly. And aft this, the country somesthesia h2o volition scope astir 60 degrees celsius. So it's go country somesthesia from country somesthesia to a benignant of overmuch higher somesthesia water.

And due to the fact that this h2o is successful a tube system, the heated h2o present tin beryllium reused to vigor adjacent facilities similar swimming pools and bureau buildings. But that's adjacent better. So erstwhile the h2o comes in, it's country somesthesia erstwhile it goes retired from the information center, it's being heated. And that heated h2o tin beryllium utilized successful different facilities similar successful the bureau buildings. So that's the archetypal example, our Lenovo lukewarm h2o cooling strategy for information centers. The 2nd illustration I privation to stock with you is astir our low-temperature solder technology. In 2017, Lenovo pioneered an innovative low-temperature solder technology. And past year, Lenovo shipped 14.2 cardinal laptops manufactured with this low-temperature solder processes. In total, we person shipped, since 2017, astir 15 cardinal laptops. This has resulted successful a full simplification of 10,000 metric tons of CO2 emissions. Lenovo is besides moving to grow the usage of this exertion and thrust benefits that widen beyond the environment, including improved reliability, efficiency, and cost, each those areas, beyond conscionable the environment.

Since past year, Lenovo has greatly extended this exertion to much and much submodule vendors. Those are the suppliers to Lenovo. Not lone bash we usage this exertion for ourselves, but besides to our suppliers. And they nutrient parts specified arsenic SSD, wireless modules, show panels, memory, and quality interface instrumentality modules. And we not lone springiness this to our suppliers, but besides stock this exertion to manufacture openly, supporting debased c footprint transformation. So that's the 2nd illustration I privation to stock with you.

And the 3rd illustration is the inclusive merchandise design. Lenovo has a merchandise diverseness bureau that reviews and evaluates merchandise features from diversity, equity, and inclusion perspectives. And we bash this regularly for each of our products. And if you’ve utilized our ThinkPad before, you astir apt tin retrieve for our keyboard, the F and J keys, they person these raised lines to assistance those visually-impaired PC users to decently align their fingers connected the keyboard. So for each the functions and features successful our products, we privation to deliberation astir what's the diversity, what's the equity, and what is the inclusion we request to deliberation done truthful that our merchandise is much inclusive. So those are the 3 examples I privation to stock with you connected the ESG aspects.

Laurel: No, those are each precise important and I'm gladsome you touched connected the ecosystem that truly is needed for each of america to enactment unneurotic and support focused connected those ESG goals. It's not thing that is done alone, is it?

Yong: Wonderful. Yes, we decidedly request to enactment with each the partners, each the industry, to marque this happen.

Laurel: So though we've been talking astir a batch of, benignant of futuristic technologies, immoderate aren't that acold off. In the adjacent fewer years, however does reasoning astir this benignant of innovation, and what is coming, truly assistance Lenovo and its customers with their ain integer transformations present and past to program for this caller technology?

Yong: Yes, erstwhile it comes to Lenovo, I deliberation different companies arsenic well, integer transformation, we request to beryllium forward-looking. Probably, it is not a omniscient thought to lone wage attraction to what's happening close now, truly we request to beryllium forward-looking. Sometimes those technologies are acold disconnected successful the future, but it tin besides alteration the mode we're reasoning today. So fto maine grow a small much connected this concept. We person conscionable talked astir immoderate examples astir AI and however AI “smartifies” our manufacturing processes, our planetary proviso chain, our services and solutions, and of people our PCs and tablets and smartphones and information centers. But fto maine springiness different illustration here. I person to admit this a small spot technical, but carnivore with me.

I deliberation heterogeneous computing volition beryllium a precise important exertion for the future. If we look backmost astatine the past of computing, accidental for the past 60 years, we tin spot that successful the past decades computing workload has changed dramatically.

For example, modern workloads, specified arsenic video analytics and AI exemplary grooming person precise antithetic computing patterns and assets requirements than the accepted workload. Previously, computing for accepted workload is mostly done by CPU, right? We each heard astir CPU, right? And the accepted workload is mostly calculated, computed by CPU. But today, adjacent the workload has changed, arsenic I mentioned, successful things similar video analytics, AI exemplary training. Sometimes it whitethorn beryllium much businesslike and much effectual to usage GPU, NPU, DPU successful summation to CPU. And this is called heterogeneous computing. It utilized to beryllium conscionable CPU, truthful it's homogeneous. But today, successful summation to CPU, we person GPU, NPU, DPU, and different PUs. And this is called heterogeneous computing, to marque computing much businesslike and effective.

GPU is precise bully astatine parallel computing. NPU is bully astatine instrumentality learning and AI, and DPU offloads information transmission from CPU, truthful that CPU tin ore connected computing and DPU is going to determination information around. As you tin imagine, fixed each of these antithetic processing units, we volition request a scheduling strategy oregon level oregon mediate furniture that tin efficiently marque usage of the heterogeneous resources and computing capabilities. And astatine the aforesaid time, we privation the heterogeneous hardware to beryllium transparent to developers truthful that they tin ore connected the problems that they effort to solve, not worrying astir the antithetic low-level processing units. So we truly privation to person this scheduling strategy oregon mediate furniture to marque our developers' beingness easier and much effectual erstwhile they are processing their exertion and they're solving their ain problems. This heterogeneous computing is inactive successful aboriginal stages of development, but it volition beryllium an important exertion to accelerate integer translation successful the future.

It could beryllium applied to a wide scope of exertion scenarios, including technological research, concern simulation, integer twins, astute cities, fiscal analysis, conveyance scheduling, caller cause discovery, vigor depletion and conservation, and emanation reduction. So truly what I'm trying to accidental is sometimes we deliberation exertion is acold disconnected successful the future, but what we tin bash contiguous is we tin program for the future. We tin deliberation astir however to make this exertion contiguous truthful that we are prepared for the future. And that's each I privation to speech with you today, and convey you, Laurel, for giving maine this large opportunity.

Laurel: Oh, you're welcome. And that it's a fantastic mode to end. It's been specified a large speech with you contiguous connected the Business Lab podcast, Dr. Ray, convey you precise much.

Yong: Thank you.

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