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Sam Zheng, CEO and Co-Founding father of DeepHow, spearheads a quickly evolving startup, backed by esteemed traders. DeepHow revolutionizes expert workforce coaching with an modern, AI-powered, video-centric information capturing and switch platform.
Previous to DeepHow, Sam devoted over a decade to Siemens, driving digital innovation throughout numerous industries. His noteworthy initiatives, such because the Cloud Digital Inspection Jacket, have considerably improved technical information sharing, effectivity, and consumer expertise, incomes his group the celebrated Siemens Innovation Award.
Concurrently, Sam serves as an Adjunct Professor of Psychology at Tsinghua College and holds a Ph.D. in Engineering Psychology and a Grasp’s in Statistics from the College of Illinois at Urbana-Champaign.
You’ve an academic background in psychology and statistics, how did you transition to specializing in movies and machine studying?
My background in psychology and statistics truly served as a pure segue into the realm of machine studying and video-centric platforms. The research of psychology sparked my fascination with the human thoughts and intelligence, significantly the method of abilities studying and experience growth. In the meantime, statistics offered the mathematical basis to discover synthetic neural networks, impressed by our organic mind.
In at this time’s digital age, movies have emerged as a extra partaking, interactive, and efficient studying medium. This shift is clear with platforms like YouTube and TikTok, the place customers, significantly the youthful technology, make investments hours consuming and studying from video content material.
Nevertheless, the normal course of of making tutorial or how-to movies, particularly the enhancing half, is time-consuming and labor-intensive. A brief video spanning a couple of minutes may require hours of meticulous work. Recognizing this inefficiency and the potential to reinforce the educational expertise, my co-founders and I made a decision to harness the ability of synthetic intelligence (AI) and machine studying to expedite the how-to video creation course of.
Our AI-powered video platform can rework hours of laborious work into mere minutes, drastically enhancing effectivity with out compromising effectiveness. In essence, my tutorial grounding in understanding human cognition and the statistical fashions that mimic it helped pave the best way for this modern enterprise.
You’ve a number of patents underneath your title, what’s crucial one that you simply labored on?
All my patents give attention to harnessing expertise to reinforce human efficiency. Throughout my tenure at Siemens, one notable challenge concerned engaged on an answer for Professor Stephen Hawking. We developed an intuitive eye-typing enter technique to help people with ALS, much like Professor Hawking’s situation. This modern work is now a part of a pending patent.
Nevertheless, probably the most important patent I’ve contributed to is a latest one: the Generative AI-Powered Know-How Administration Platform for Industrial and Manufacturing Organizations.
Here is a quick overview:
Our invention presents a cutting-edge generative AI answer particularly tailor-made for industrial and manufacturing organizations. It successfully captures, organizes, and disseminates each institutional and tribal information, intersecting fields like synthetic intelligence, machine studying, coaching and growth, and information administration methods.
Industrial and manufacturing sectors usually face immense challenges in capturing, organizing, and sharing vital information. Excessive workers turnover charges, advanced processes, and the perpetual want for upskilling amplify these difficulties. Conventional information administration strategies are sometimes cumbersome, time-intensive, and lack flexibility, necessitating a extra superior answer.
Our generative AI answer employs proprietary algorithms and machine studying methods to streamline the creation of video-based customary working procedures (SOPs), optimize workflows, and facilitate fast, environment friendly entry to data by way of AI-driven chat options. Resulting from its adaptability and scalability, our answer is suited to a variety of producing contexts.
Might you share the genesis story behind DeepHow?
Earlier than we launched DeepHow, I used to be working alongside our different founders, Patrik Matos da Silva and Wei-Liang Kao, at Siemens, driving quite a lot of digital innovation initiatives in industrial and manufacturing sectors. Our journey took an enormous leap once we joined the Techstars Mobility Accelerator in Detroit in 2018. The expertise was basically a boot camp, serving to us validate our thought, determine gaps, and join with potential traders, companions, and mentors.
We noticed the worth in abilities and experiences that individuals had cultivated over time however there was one problem- there wasn’t a very efficient option to seize and share this experience. We noticed how quickly expertise was advancing, and it occurred to us that the strategies we used for worker coaching hadn’t stored up. We have been nonetheless counting on outdated, time-consuming strategies that weren’t environment friendly and, frankly, weren’t partaking sufficient.
I spotted there was a singular alternative to mix advances in AI and video expertise to utterly change how we seize, construction, and share data. So we got down to construct DeepHow, a platform the place firms can create superb coaching movies in-house and stay in management. To actualize this concept, we created an AI system referred to as “Stephanie”. Stephanie is the spine of our answer, capturing specialists’ know-how and making a information repository. It generates step-by-step, interactive how-to movies to hurry up the educational course of for brand spanking new and fewer skilled workers.
Via the usage of AI workflow indexing and segmentation, we have managed to create video content material ten occasions sooner and enhance workforce efficiency by 25%.
We’ve come a good distance for the reason that early days, however our mission remains to be the identical. We’re dedicated to serving to firms leverage their wealth of institutional information and experience and allow their workers to repeatedly study and develop. It’s an exhilarating journey.
What are a few of the office challenges DeepHow is fixing?
Data Switch: In any office, transferring abilities and information, particularly from seasoned workers to new hires or much less skilled workers, may be fairly a problem. We now have made it attainable to seize and construction that information in a means that is easy to share, damaged down into segments and simpler to understand.
Coaching Effectivity: Conventional coaching may be tedious, proper? Lengthy hours, exhausting to retain information- it isn’t at all times probably the most environment friendly course of. With DeepHow, workers can study at their very own pace and in a means that’s higher tailor-made to their very own distinctive studying type. It’s our purpose to make coaching painless and pleasing.
Expertise Hole: Generally, determining the place your groups’ abilities gaps are can really feel like looking for a needle in a haystack. That’s one other factor that we can assist with. Our platform makes use of analytics to indicate you the place there’s a hole in coaching and allows coaching groups to bridge that by creating the precise content material they want.
Outdated Coaching Supplies: Issues change quick, don’t they? Requirements and procedures, they’re all always evolving. Properly, we be sure that your coaching supplies are by no means left behind. Enhancing and updating is fast and painless, and with the ability to share these updates throughout totally different places and shirts with a easy abilities task makes positive that nobody is left with out probably the most up-to-date data.
On-Demand Studying: Comfort is king! Everybody desires to have entry to what they want, after they want it. That’s the philosophy behind DeepHow. We imagine that coaching should not be a scheduled occasion that disrupts all the day, however a versatile useful resource that’s there once you want it. Being confined by a spot and time isn’t splendid. Have to study one thing particular, proper now? Search and watch. It couldn’t be simpler.
Boosting Worker Engagement: Everyone knows that coaching can generally be, effectively, not probably the most thrilling factor. Nevertheless it completely doesn’t must be this manner. DeepHow permits creators room to be inventive. Studying must be a enjoyable, partaking and pleasing expertise.
Fostering Communication: Communication may be difficult, particularly when coping with a fancy course of or process. Our platform makes communication less complicated by enabling step-by-step guides that permit workers to simply digest and perceive the duty at hand, selling clear and constant messaging throughout the board. Our platform additionally understands, interprets, and transcribes in practically 50 languages and counting. This function alone has confirmed to be probably the most useful instruments many firms possess. Permitting somebody to study of their native language ensures higher understanding and boosts morale.
How does DeepHow allow enterprises to create an adaptive coaching program?
Let’s contemplate the normal coaching setting. You’ve obtained static materials, inflexible schedules, and a one-size-fits-all method. Now, these strategies don’t bear in mind that everybody learns otherwise and at a unique tempo. They don’t seem to be scalable or versatile to accommodate the quickly altering panorama or particular person worker progress. These are important ache factors for any enterprise, proper?
That’s precisely the place DeepHow steps in. We aid you flip the script on these points. We allow companies to develop agile coaching applications which are dynamic, customized, and extremely attentive to enterprise wants and worker studying patterns.
Our platform captures knowledgeable information in easy-to-follow, video-based studying modules. However we don’t cease there. We harness the ability of AI to research workers’ interactions with these fashions, enabling deeper perception into the place your abilities gaps stay. It’s about turning weaknesses into strengths and capitalizing on particular person areas of experience to foster a steady studying tradition.
What position does DeepHow play in rising office security?
Security is such a vital facet of any office, but it’s usually tough to get it proper, resulting in unlucky accidents and rules violations. That is sadly true in industries like manufacturing, development, or healthcare, the place even a small lapse can have important penalties.
So the place does DeepHow match into this image? Properly, we’re captivated with guaranteeing that security practices are clearly understood and constantly carried out throughout the board.
We do that by offering a platform the place firms can simply seize and share knowledgeable information on security protocols. As a substitute of the old-school, hard-to-follow manuals, we provide interactive, step-by-step video guides. They’re easy, straightforward to grasp, and most significantly, accessible anytime, anyplace. This implies workers by no means have an excuse to not keep updated with the most recent security protocols. Security ought to at all times be a prime precedence and everybody deserves to really feel secure at work.
How is Generative AI used to allow this to occur?
On the coronary heart of our Generative AI-powered know-how administration platform, “Maven,” lies a collection of modern capabilities geared toward revolutionizing the best way industrial and manufacturing organizations seize, handle, and share their institutional and tribal information. Maven employs proprietary algorithms and superior machine studying methods to simplify and improve quite a lot of processes:
- Streamlined Video SOP Creation: Utilizing our distinctive Generative AI algorithms, Maven assists within the automated technology of video taking pictures guides and narration scripts. This facilitates the creation of high-quality video SOPs with consistency, setting a brand new trade customary.
- Environment friendly Workflow Optimization: By leveraging superior machine studying methods, Maven’s workflow visualization instruments allow customers to simplify advanced duties, thus selling productiveness by way of user-friendly interfaces and sensible purposes of AI.
- Strategic Data Mapping: Maven’s AI algorithms assist organizations map essential know-how, determine information gaps, and uncover important content material alternatives. This ends in the event of focused coaching supplies uniquely tailor-made to the wants of a talented workforce.
- AI-Enhanced Chat Characteristic: Powered by modern pure language processing algorithms, Maven’s AI Chat allows customers to entry obligatory data shortly and effectively utilizing pure language queries.
- Multimodal Content material Technology: In conditions the place a written SOP is unavailable, Maven can analyze video content material and generate multimodal content material like step-by-step video SOPs, textual content SOPs, and workflow diagrams, thereby streamlining the content material creation course of.
By marrying superior Generative AI with the most recent information administration methods, Maven provides organizations a singular device to harness their expert workforce’s potential, driving steady enchancment and innovation.
Are there different sorts of machine studying algorithms which are used?
Certainly, DeepHow leverages a variety of subtle machine studying algorithms and AI methods inside the realms of Pure Language Processing (NLP) and Laptop Imaginative and prescient. These methods, each supervised and unsupervised, underpin our proprietary, domain-specific AI expertise, which has been skilled and optimized for the economic and manufacturing sector. Key areas of software embrace:
1) Workflow Segmentation: We make the most of machine studying algorithms to extract vital data and steps from advanced, unstructured job demonstrations captured in movies. This permits us to interrupt down advanced procedures into manageable, teachable steps.
2) Multimodal Step Embedding: By modeling an ‘exercise genome’, we’re in a position to reconfigure instruction and workflow steerage to raised swimsuit particular operational contexts.
3) Cross-Modality Retrieval: We use superior in-video search methods to facilitate multi-language, skills-based content material retrieval. This enables customers to entry related data with better effectivity and precision.
4) Know-How Mapping: We assemble a information graph that visually represents a company’s core competencies. This mapping permits firms to determine their information property clearly, enabling simpler upskilling and coaching methods.
These superior machine studying methods, mixed with our give attention to industrial and manufacturing providers, permit us to supply a complete answer to the distinctive challenges confronted by organizations in these sectors.
For firms that want to get began, what’s the method?
We’ve designed our platform with simplicity in thoughts, so onboarding your organization doesn’t must be advanced. Actually, greater than 80+ enterprise and SMB prospects have efficiently deployed our options to over 400 websites in 24 international locations throughout 6 continents.
First, our groups will meet and have a dialog about your organization’s particular wants and ache factors. We need to perceive your objectives, the coaching challenges you’re going through, the sort of abilities your workforce wants – the entire image.
Subsequent, we information you thru the method of capturing your specialists’ information. This may be about any course of or talent that’s necessary to your organization. Our group will help you in creating these step-by-step video guides utilizing DeepHow’s intuitive instruments.
Our group is there to assist you each step of the best way, from the preliminary setup to the continuing optimization of your coaching program. We’re right here to type a partnership with you and improve your workforce’s abilities and effectivity. Merely go to DeepHow.com to get began.
Is there anything that you simply wish to share about DeepHow?
On the coronary heart of DeepHow is a transparent, compelling mission: we purpose to empower each expert employee to develop into an knowledgeable. We attempt to make information switch and coaching seamless, partaking, and cost-effective, harnessing the transformative energy of AI. We firmly imagine that expertise ought to increase human capabilities, not exchange them. This precept guides every little thing we do.
In our quickly evolving technological panorama, this mission is extra related than ever. The shift in the direction of digital transformation and Business 4.0 has modernized manufacturing, introducing an array of superior applied sciences. These improvements have considerably altered job necessities, demanding staff to accumulate new technical abilities to function, preserve, and optimize these subtle machines. The tempo of change is so fast that conventional coaching approaches battle to maintain up, resulting in an ever-widening abilities hole.
Our purpose is to deal with this problem head-on, empowering staff to ‘construct again higher’ by reskilling for the factories of tomorrow. Excessive ranges of automation imply there’s much less want for guide labor; as an alternative, the main focus shifts to leveraging staff’ experience and instinct in working superior technological methods.
Factories have developed considerably over the previous decade, with the mixing of robotics, cobotics, and analytic applied sciences that regularly optimize output and decrease waste. To handle these applied sciences, an upskilled workforce is vital.
DeepHow supplies a contemporary coaching methodology, enabling producers to draw expertise, fill entry-level positions, and progressively upskill staff for superior roles throughout manufacturing, logistics, and planning. With an emphasis on up to date, partaking coaching, we’re serving to to shift the notion of producing from a dead-end profession to a dynamic, technology-driven subject with limitless prospects.
Thanks for the good interview, readers who want to study extra ought to go to DeepHow.
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