Sam Zheng, CEO and Co-Founding father of DeepHow, spearheads a quickly evolving startup, backed by esteemed buyers. DeepHow revolutionizes expert workforce coaching with an revolutionary, AI-powered, video-centric data capturing and switch platform.
Previous to DeepHow, Sam devoted over a decade to Siemens, driving digital innovation throughout varied industries. His noteworthy initiatives, such because the Cloud Digital Inspection Jacket, have considerably improved technical data sharing, effectivity, and consumer expertise, incomes his workforce the distinguished 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 got 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 expertise studying and experience growth. In the meantime, statistics offered the mathematical basis to discover synthetic neural networks, impressed by our organic mind.
In in the present day’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 standard course of of making educational or how-to movies, particularly the modifying half, is time-consuming and labor-intensive. A brief video spanning a couple of minutes might require hours of meticulous work. Recognizing this inefficiency and the potential to boost the training 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 educational grounding in understanding human cognition and the statistical fashions that mimic it helped pave the best way for this revolutionary enterprise.
You’ve got a number of patents underneath your identify, what’s an important one that you simply labored on?
All my patents deal with harnessing know-how to boost 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 methodology to help people with ALS, much like Professor Hawking’s situation. This revolutionary work is now a part of a pending patent.
Nevertheless, probably the most vital 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 short overview:
Our invention presents a cutting-edge generative AI resolution particularly tailor-made for industrial and manufacturing organizations. It successfully captures, organizes, and disseminates each institutional and tribal data, intersecting fields like synthetic intelligence, machine studying, coaching and growth, and data administration techniques.
Industrial and manufacturing sectors typically face immense challenges in capturing, organizing, and sharing crucial data. Excessive employees turnover charges, advanced processes, and the perpetual want for upskilling amplify these difficulties. Conventional data administration strategies are sometimes cumbersome, time-intensive, and lack flexibility, necessitating a extra superior resolution.
Our generative AI resolution employs proprietary algorithms and machine studying strategies to streamline the creation of video-based normal working procedures (SOPs), optimize workflows, and facilitate fast, environment friendly entry to info by way of AI-driven chat options. As a result of its adaptability and scalability, our resolution 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 a wide range 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 primarily a boot camp, serving to us validate our thought, determine gaps, and join with potential buyers, companions, and mentors.
We noticed the worth in expertise and experiences that folks had cultivated over time however there was one problem- there wasn’t a really efficient solution to seize and share this experience. We noticed how quickly know-how 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 noticed there was a singular alternative to mix advances in AI and video know-how to utterly change how we seize, construction, and share info. 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 known as “Stephanie”. Stephanie is the spine of our resolution, capturing specialists’ know-how and making a data repository. It generates step-by-step, interactive how-to movies to hurry up the training 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 quicker and enhance workforce efficiency by 25%.
We’ve come a good distance for the reason that early days, however our mission continues to be the identical. We’re dedicated to serving to firms leverage their wealth of institutional data and experience and allow their workers to repeatedly be taught and develop. It’s an exciting journey.
What are among the office challenges DeepHow is fixing?
Data Switch: In any office, transferring expertise and data, particularly from seasoned workers to new hires or much less skilled employees, could be fairly a problem. We now have made it doable to seize and construction that data in a method that is easy to share, damaged down into segments and simpler to know.
Coaching Effectivity: Conventional coaching could 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 be taught at their very own velocity and in a method that’s higher tailor-made to their very own distinctive studying type. It’s our objective to make coaching painless and pleasing.
Abilities Hole: Typically, determining the place your groups’ expertise gaps are can really feel like looking for a needle in a haystack. That’s one other factor that we will help 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 continuously evolving. Nicely, we ensure that your coaching supplies are by no means left behind. Modifying and updating is fast and painless, and having the ability to share these updates throughout totally different places and shirts with a easy expertise task makes certain that nobody is left with out probably the most up-to-date info.
On-Demand Studying: Comfort is king! Everybody needs to have entry to what they want, once they want it. That’s the philosophy behind DeepHow. We consider that coaching should not be a scheduled occasion that disrupts your entire day, however a versatile useful resource that’s there if you want it. Being confined by a spot and time isn’t excellent. Must be taught one thing particular, proper now? Search and watch. It couldn’t be simpler.
Boosting Worker Engagement: Everyone knows that coaching can typically be, effectively, not probably the most thrilling factor. But it surely completely doesn’t must be this fashion. DeepHow permits creators room to be artistic. Studying ought to be a enjoyable, partaking and pleasing expertise.
Fostering Communication: Communication could be tough, 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 almost 50 languages and counting. This function alone has confirmed to be one of the crucial precious instruments many firms possess. Permitting somebody to be taught 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 standard coaching surroundings. You’ve received static materials, inflexible schedules, and a one-size-fits-all strategy. Now, these strategies don’t have in mind that everybody learns in another way 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 vital ache factors for any enterprise, proper?
That’s precisely the place DeepHow steps in. We enable you to flip the script on these points. We allow companies to develop agile coaching applications which can be dynamic, personalised, and extremely aware of enterprise wants and worker studying patterns.
Our platform captures knowledgeable data 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 expertise gaps stay. It’s about turning weaknesses into strengths and capitalizing on particular person areas of experience to foster a steady studying tradition.
What function does DeepHow play in growing office security?
Security is such a crucial facet of any office, but it’s typically 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 vital penalties.
So the place does DeepHow match into this image? Nicely, we’re captivated with guaranteeing that security practices are clearly understood and constantly applied throughout the board.
We do that by offering a platform the place firms can simply seize and share knowledgeable data on security protocols. As an alternative of the old-school, hard-to-follow manuals, we provide interactive, step-by-step video guides. They’re easy, simple to know, and most significantly, accessible anytime, wherever. 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 high precedence and everybody deserves to really feel protected 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 revolutionary capabilities aimed toward revolutionizing the best way industrial and manufacturing organizations seize, handle, and share their institutional and tribal data. Maven employs proprietary algorithms and superior machine studying strategies to simplify and improve a wide range of processes:
- Streamlined Video SOP Creation: Utilizing our distinctive Generative AI algorithms, Maven assists within the automated technology of video capturing guides and narration scripts. This facilitates the creation of high-quality video SOPs with consistency, setting a brand new business normal.
- Environment friendly Workflow Optimization: By leveraging superior machine studying strategies, Maven’s workflow visualization instruments allow customers to simplify advanced duties, thus selling productiveness by way of user-friendly interfaces and sensible functions of AI.
- Strategic Data Mapping: Maven’s AI algorithms assist organizations map essential know-how, determine data gaps, and uncover important content material alternatives. This leads to the event of focused coaching supplies uniquely tailor-made to the wants of a talented workforce.
- AI-Enhanced Chat Function: Powered by modern pure language processing algorithms, Maven’s AI Chat allows customers to entry needed info 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 data administration methods, Maven affords organizations a singular device to harness their expert workforce’s potential, driving steady enchancment and innovation.
Are there different varieties of machine studying algorithms which can be used?
Certainly, DeepHow leverages a variety of refined machine studying algorithms and AI strategies throughout the realms of Pure Language Processing (NLP) and Pc Imaginative and prescient. These strategies, each supervised and unsupervised, underpin our proprietary, domain-specific AI know-how, which has been skilled and optimized for the economic and manufacturing sector. Key areas of utility embody:
1) Workflow Segmentation: We make the most of machine studying algorithms to extract crucial info and steps from advanced, unstructured process 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 strategies to facilitate multi-language, skills-based content material retrieval. This enables customers to entry related info with higher effectivity and precision.
4) Know-How Mapping: We assemble a data graph that visually represents a corporation’s core competencies. This mapping permits firms to determine their data property clearly, enabling simpler upskilling and coaching methods.
These superior machine studying strategies, mixed with our deal with industrial and manufacturing providers, permit us to supply a complete resolution 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. In reality, 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 wish to perceive your targets, the coaching challenges you’re dealing with, the type of expertise your workforce wants – the entire image.
Subsequent, we information you thru the method of capturing your specialists’ data. This may be about any course of or talent that’s essential to your organization. Our workforce will help you in creating these step-by-step video guides utilizing DeepHow’s intuitive instruments.
Our workforce is there to help you each step of the best way, from the preliminary setup to the continued optimization of your coaching program. We’re right here to type a partnership with you and improve your workforce’s expertise and effectivity. Merely go to DeepHow.com to get began.
Is there the rest that you simply wish to share about DeepHow?
On the coronary heart of DeepHow is a transparent, compelling mission: we goal to empower each expert employee to turn into an knowledgeable. We attempt to make data switch and coaching seamless, partaking, and cost-effective, harnessing the transformative energy of AI. We firmly consider that know-how ought to increase human capabilities, not exchange them. This precept guides the whole lot we do.
In our quickly evolving technological panorama, this mission is extra related than ever. The shift in direction of digital transformation and Trade 4.0 has modernized manufacturing, introducing an array of superior applied sciences. These improvements have considerably altered job necessities, demanding employees to accumulate new technical expertise to function, preserve, and optimize these refined machines. The tempo of change is so fast that conventional coaching approaches wrestle to maintain up, resulting in an ever-widening expertise hole.
Our goal is to deal with this problem head-on, empowering employees 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 target shifts to leveraging employees’ experience and instinct in working superior technological techniques.
Factories have advanced considerably over the previous decade, with the mixing of robotics, cobotics, and analytic applied sciences that frequently optimize output and decrease waste. To handle these applied sciences, an upskilled workforce is crucial.
DeepHow gives a contemporary coaching methodology, enabling producers to draw expertise, fill entry-level positions, and progressively upskill employees for superior roles throughout manufacturing, logistics, and planning. With an emphasis on modern, partaking coaching, we’re serving to to shift the notion of producing from a dead-end profession to a dynamic, technology-driven area with limitless prospects.
Thanks for the good interview, readers who want to be taught extra ought to go to DeepHow.
