Sam Zheng, CEO and Co-Founder of DeepHow, spearheads a quickly evolving startup, backed by esteemed buyers. DeepHow revolutionizes expert workforce coaching with an progressive, AI-powered, video-centric data capturing and switch platform.
Prior 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 data sharing, effectivity, and consumer expertise, incomes his staff the celebrated Siemens Innovation Award.
Simultaneously, Sam serves as an Adjunct Professor of Psychology at Tsinghua University and holds a Ph.D. in Engineering Psychology and a Master’s in Statistics from the University of Illinois at Urbana-Champaign.
You have 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, notably the method of expertise studying and experience improvement. Meanwhile, statistics offered the mathematical basis to discover synthetic neural networks, impressed by our organic mind.
In right this moment’s digital age, movies have emerged as a extra partaking, interactive, and efficient studying medium. This shift is clear with platforms like YouTube and TikTookay, the place customers, notably the youthful technology, make investments hours consuming and studying from video content material.
However, the normal course of of making educational or how-to movies, particularly the enhancing 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 reinforce the educational expertise, my co-founders and I made a decision to harness the facility of synthetic intelligence (AI) and machine studying to expedite the how-to video creation course of.
Our AI-powered video platform can remodel 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 way in which for this progressive enterprise.
You have a number of patents beneath your identify, what’s an important one that you simply labored on?
All my patents give attention to harnessing know-how to reinforce human efficiency. During my tenure at Siemens, one notable mission concerned engaged on an answer for Professor Stephen Hawking. We developed an intuitive eye-typing enter technique to help people with ALS, just like Professor Hawking’s situation. This progressive work is now a part of a pending patent.
However, essentially the most important patent I’ve contributed to is a current one: the Generative AI-Powered Know-How Management Platform for Industrial and Manufacturing Organizations.
Here’s a short 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 data, intersecting fields like synthetic intelligence, machine studying, coaching and improvement, and data administration techniques.
Industrial and manufacturing sectors usually face immense challenges in capturing, organizing, and sharing important data. High workers turnover charges, complicated processes, and the perpetual want for upskilling amplify these difficulties. Traditional data 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 strategies to streamline the creation of video-based commonplace working procedures (SOPs), optimize workflows, and facilitate fast, environment friendly entry to data by way of AI-driven chat options. Due to its adaptability and scalability, our answer is suited to a variety of producing contexts.
Could you share the genesis story behind DeepHow?
Before 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 a giant 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 buyers, companions, and mentors.
We noticed the worth in expertise and experiences that folks had cultivated through the years however there was one problem- there wasn’t a really efficient approach 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 data. So we got down to construct DeepHow, a platform the place firms can create wonderful 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 data 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.
Through 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 great distance because the early days, however our mission continues to be the identical. We are dedicated to serving to firms leverage their wealth of institutional data and experience and allow their workers to repeatedly study and develop. It’s an exhilarating journey.
What are a number of the office challenges DeepHow is fixing?
Knowledge Transfer: In any office, transferring expertise and data, particularly from seasoned workers to new hires or much less skilled workers, will be fairly a problem. We have made it attainable to seize and construction that data in a means that is easy to share, damaged down into segments and simpler to know.
Training Efficiency: Traditional coaching will be tedious, proper? Long hours, arduous to retain information- it is not at all times essentially the most environment friendly course of. With DeepHow, workers can study at their very own velocity 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 pleasant.
Skills Gap: Sometimes, 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 might help with. Our platform makes use of analytics to point out you the place there’s a hole in coaching and allows coaching groups to bridge that by creating the particular content material they want.
Outdated Training Materials: Things change quick, don’t they? Standards and procedures, they’re all continually evolving. Well, we make it possible for your coaching supplies are by no means left behind. Editing and updating is fast and painless, and having the ability to share these updates throughout completely different places and shirts with a easy expertise project makes certain that nobody is left with out essentially the most up-to-date data.
On-Demand Learning: Convenience is king! Everyone 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 the whole day, however a versatile useful resource that’s there whenever you want it. Being confined by a spot and time isn’t best. Need to study one thing particular, proper now? Search and watch. It couldn’t be simpler.
Boosting Employee Engagement: We all know that coaching can typically be, nicely, not essentially the most thrilling factor. But it completely doesn’t need to be this manner. DeepHow permits creators room to be artistic. Learning needs to be a enjoyable, partaking and pleasant expertise.
Fostering Communication: Communication will be difficult, particularly when coping with a posh course of or process. Our platform makes communication less complicated by enabling step-by-step guides that enable 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 characteristic alone has confirmed to be one of the vital helpful instruments many firms possess. Allowing 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 think about the normal coaching surroundings. You’ve bought static materials, inflexible schedules, and a one-size-fits-all method. Now, these strategies don’t consider that everybody learns in a different way and at a distinct tempo. They aren’t scalable or versatile to accommodate the quickly altering panorama or particular person worker progress. Those are important 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 are dynamic, personalised, and extremely attentive to enterprise wants and worker studying patterns.
Our platform captures professional data in easy-to-follow, video-based studying modules. But we don’t cease there. We harness the facility 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 position does DeepHow play in rising office security?
Safety is such a important facet of any office, but it’s usually troublesome to get it proper, resulting in unlucky accidents and rules violations. This is sadly true in industries like manufacturing, building, or healthcare, the place even a small lapse can have important penalties.
So the place does DeepHow match into this image? Well, we’re enthusiastic about making certain that security practices are clearly understood and persistently applied throughout the board.
We do that by offering a platform the place firms can simply seize and share professional data on security protocols. Instead of the old-school, hard-to-follow manuals, we provide interactive, step-by-step video guides. They’re easy, straightforward to know, and most significantly, accessible anytime, wherever. This means workers by no means have an excuse to not keep updated with the newest security protocols. Safety ought to at all times be a prime precedence and everybody deserves to really feel protected at work.
How is Generative AI used to allow this to occur?
At the center of our Generative AI-powered know-how administration platform, “Maven,” lies a collection of progressive capabilities aimed toward revolutionizing the way in which 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: Using our distinctive Generative AI algorithms, Maven assists within the computerized 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 commonplace.
- Efficient Workflow Optimization: By leveraging superior machine studying strategies, Maven’s workflow visualization instruments allow customers to simplify complicated duties, thus selling productiveness by user-friendly interfaces and good functions of AI.
- Strategic Knowledge Mapping: Maven’s AI algorithms assist organizations map essential know-how, determine data 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 Feature: 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 Generation: 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 newest data administration methods, Maven presents organizations a singular software to harness their expert workforce’s potential, driving steady enchancment and innovation.
Are there different varieties of machine studying algorithms which are used?
Indeed, DeepHow leverages a variety of refined machine studying algorithms and AI strategies inside the realms of Natural Language Processing (NLP) and Computer Vision. 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 software embrace:
1) Workflow Segmentation: We make the most of machine studying algorithms to extract important data and steps from complicated, unstructured job demonstrations captured in movies. This allows us to interrupt down complicated procedures into manageable, teachable steps.
2) Multimodal Step Embedding: By modeling an ‘exercise genome’, we’re capable of reconfigure instruction and workflow steerage to raised go well with particular operational contexts.
3) Cross-Modality Retrieval: We use superior in-video search strategies to facilitate multi-language, skills-based content material retrieval. This permits customers to entry related data with larger 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 more practical upskilling and coaching methods.
These superior machine studying strategies, mixed with our give attention to industrial and manufacturing providers, enable 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 need to be complicated. In truth, greater than 80+ enterprise and SMB prospects have efficiently deployed our options to over 400 websites in 24 nations 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 objectives, the coaching challenges you’re dealing with, the sort of expertise your workforce wants – the entire image.
Next, we information you thru the method of capturing your specialists’ data. This will be about any course of or ability that’s vital to your organization. Our staff will help you in creating these step-by-step video guides utilizing DeepHow’s intuitive instruments.
Our staff is there to help you each step of the way in which, 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. Simply go to DeepHow.com to get began.
Is there the rest that you simply wish to share about DeepHow?
At the center of DeepHow is a transparent, compelling mission: we intention to empower each expert employee to develop into an professional. We try to make data switch and coaching seamless, partaking, and cost-effective, harnessing the transformative energy of AI. We firmly imagine that know-how ought to increase human capabilities, not substitute them. This precept guides all the pieces we do.
In our quickly evolving technological panorama, this mission is extra related than ever. The shift in the direction of digital transformation and Industry 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, keep, and optimize these refined machines. The tempo of change is so fast that conventional coaching approaches battle to maintain up, resulting in an ever-widening expertise hole.
Our intention is to handle this problem head-on, empowering employees to ‘construct again higher’ by reskilling for the factories of tomorrow. High ranges of automation imply there’s much less want for guide labor; as an alternative, the main focus shifts to leveraging employees’ experience and instinct in working superior technological techniques.
Factories have advanced considerably over the previous decade, with the combination of robotics, cobotics, and analytic applied sciences that frequently optimize output and decrease waste. To handle these applied sciences, an upskilled workforce is important.
DeepHow supplies 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 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.
Thank you for the good interview, readers who want to study extra ought to go to DeepHow.
