babbobox ceo

ANNOUNCEMENT: Babbobox and Ricoh enter into a strategic partnership to drive Digital Transformation in Asia with Artificial Intelligence

A.I. Storage for every Enterprise

Singapore, 15 May 2019 - Babbobox announces the strategic partnership with Ricoh Asia Pacific for the official launch of AIspace (www.aispace.co, pronounced as “i”space) in Asia. This partnership is aimed at providing an innovative enterprise-grade Artificial Intelligence (A.I.) storage solution that enables digital transformation in the Asian workplace. 

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Enterprises know the need for digital transformation. They also know the importance of A.I. in staying competitive and being future-ready. However, many enterprises perceive A.I. to be out of reach because they think it is either too costly or have little knowledge about its benefits to them. AIspace will be challenging that perception with its mission “to make A.I. accessible to all enterprises”. 

The Babbobox and Ricoh Asia Pacific partnership is aimed at making A.I. accessible and affordable to Asian enterprises by introducing A.I. to something every enterprise need - Storage. AIspace applies numerous A.I. like Computer Vision and Natural Language Processing to digital assets (documents, images, media) that already exist within enterprises; making them discoverable with the World's First Unified Search Engine. 

AIspace’s Document AI capability allows users to automatically identify the main points of a document without the need to read the document. Using techniques from class-leading Natural Language Processing (NLP) toolkits, AIspace automatically extracts information (about people, places, events, and much more) from text documents. Imagine the time saved for enterprises that handles large volumes of documents daily. 

The biggest storage challenge for images is that you cannot search them. Current platforms that allows image search requires users to tag all images manually. AIspace is changing that by applying A.I. to automate this process where it analyzes images and return results based on thousands of recognizable objects, living beings, scenery and actions. Along with our search engine, images are indexed with tags created and made searchable automatically.

"We are excited about this partnership with Ricoh Asia Pacific," according to Alex Chan, CEO of Babbobox. "We believe that our partnership enables Ricoh customers to further extend the usage of their Ricoh Multifunctional Printers (MFP), thus creating more value. We also believe AIspace is a game-changer in this enterprise space because we are making A.I. accessible and affordable to enterprises, and thus, allowing Ricoh’s customers to reap its benefits." 

With this partnership, AIspace will be exclusively available in nine Asian countries via Ricoh Asia Pacific channel networks. These 9 countries are Australia, Hong Kong, Malaysia, New Zealand, Philippines, Singapore, Taiwan, Thailand and Vietnam.

About Ricoh

Ricoh is empowering digital workplaces using innovative technologies and services enabling individuals to work smarter. For more than 80 years, Ricoh has been driving innovation and is a leading provider of document management solutions, IT services, commercial and industrial printing, digital cameras, and industrial systems. 

Headquartered in Tokyo, Ricoh Group operates in approximately 200 countries and regions. In the financial year ended March 2018, Ricoh Group had worldwide sales of 2,063 billion yen (approx. 19.4 billion USD).

For further information, please visit www.ricoh.com 

About Babbobox

Babbobox developed one of world's most advanced AI-infused Unified Search Engine where it combines numerous advanced technologies (Speech Recognition, Video OCR, Cognitive Services, Image Analysis, Artificial Intelligence and Enterprise Search) into a single platform. In 2017, Babbobox launched VideoSpace - the next generation of Video AI Platform. Babbobox has evolved, transformed and has become a global leader in Video Search Engine technologies by creating Four World's First. Babbobox is using these breakthroughs into their data and video platforms to enable enterprises unleash the true value of their digital assets. 

For further information, please visit www.babbobox.com

To find out more about AIspace, please contact us.

Video Big Data (Part 2) - What kind of Video Data?

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In the last installment, we explained:

  • Why Video Big Data will absolutely dwarf current Big Data
  • How Video is the most difficult medium to extract data from

Which explains why Video Big Data remains a largely unexplored field. But also means the intense opportunities available because we have not even scrap the tip of this huge data iceberg.

In this installment, we will examine the kind of data elements that we can extract from videos. 

1. Speech
In a hour of video, a person can say up to 9,000 words. So imagine the amount of data just from speech alone. However, the process of transcribing speech is filled with problems and we are currently only starting to get an acceptable level of accuracy.

2. Text
Besides speech, text is probably the second most important element inside videos. For example, in a presentation or lecture, besides speech the speaker would augment the session with a set of slides. Or news tickers appearing during a news broadcast. 

3. Objects
There are thousands of objects inside a video within different timeframe. Therefore, it can be quite challenging to identity what objects are in the video content and in which scene they appear in. 

4. Activities
The difference between video and still images is motion. Different video scenes contain complex activities, such as “running in a group” or “driving a car”. Ability to extract activities will give a lot of insight what the videos are about. This includes offensive content that might contain nudity and profanity.

5. Motion
Detecting motion enables you to efficiently identify sections of interest within an otherwise long and uneventful video. That might sound simple, but what if you have 10,000 hours of videos to review every night? That’s a near impossible task to eyeball every video minute.

6. Faces
Detecting faces from videos adds face detection ability to any survelliance or CCTV system. This will be useful to analyze human traffic within a mall, street or even a restaurant or café. When we include facial recognition, it opens up another data dimension.

7. Emotion
Emotion detection is an extension of the Face Detection that returns analysis on multiple emotional attributes from the faces detected. With emotion detection, one can gauge audience emotional response over a period of time.

This list of video data is certainly not exhaustive but is a definitely a good starting point to the field of Video Big Data. In the next installment, we will examine some of the techniques used to extract these video data. 

Yours sincerely,

The Babbobox Team

Thank you Birmingham... Hello Washington!

Finally, 2 intensive days of MS Tech Summit in Birmingham... done and dusted. Absolutely the right decision to come to UK to do this. Massive event! Exactly the right platform to showcase our Video Search technologies. 

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Caught up with Scott Guthrie. Held so many in-depth discussion with so many UK enterprises, universities, government agencies, etc. If we have our way, our stuff might even end up in Scotland Yard! So let's see... 

Good-bye Birmingham... Next stop, Trump-capital Washington in March! I'm excited already...