画像1.jpg
AiLogo01.jpg

ICT area (main investment areas: Fintech, communication [AR / VR], security, media content, Bigdata, cloud, IoT / drone, marketing / advertising, medical / healthcare, robotics, power / battery, AI, Enterprise, education )

hocit表札en_ページ_2.jpg
hocit表札en_ページ_3.jpg
hocit表札en_ページ_1.jpg
9aa449dfcdaa1b0dd2d236094df16706a8526f61
ieee_mb_blue_3015.png
1200px-Association_for_Computing_Machine
f4bfbe94472c4059ae7f34a59884ebef.jpeg
111_ページ_04.jpg
aaai.png
111_ページ_05.jpg
111_ページ_08.jpg
111_ページ_07.jpg
111_ページ_06.jpg
111_ページ_09.jpg
111_ページ_10.jpg
111_ページ_12.jpg
111_ページ_11.jpg
111_ページ_13.jpg
111_ページ_14.jpg
111_ページ_17.jpg
111_ページ_15.jpg
111_ページ_18.jpg
111_ページ_19.jpg
111_ページ_21.jpg
111_ページ_20.jpg
111_ページ_22.jpg
111_ページ_25.jpg
111_ページ_23.jpg
111_ページ_24.jpg
111_ページ_26.jpg
111_ページ_27.jpg
111_ページ_29.jpg
111_ページ_30.jpg
111_ページ_28.jpg
111_ページ_31.jpg
111_ページ_32.jpg
hocit表札en_ページ_2.jpg
111_ページ_01.jpg
add9ad8475d1db6ad47398f6c7463fed.jpg
nauto-artificial-intelligence-companies_
ta1.jpg
ai-companies-market.png
persado-artificial-intelligence-companie
zymergen-artificial-intelligence-compani
クリスマス.jpg
884837d13c7e9a15a05ba65e37c5b187.jpg
771a2b17b190cb325e0bd75a048ed149.jpg
111_ページ_01.jpg
hocitooo - コピー.png
HOCIT_ページ_193.jpg
Screenshot - 2021-01-18T160058.972.png
65d043ddadccf8d063df95b5e0f68f58.jpg
b5d2903c1266a3794f318aead1cd093f.jpg
d44b0f6a9cccae7fe06d5113961a9724.jpg
b5d2903c1266a3794f318aead1cd093f.jpg
Screenshot - 2021-01-18T232344.084.png
Turing_Bowl_72_large.jpg
HPATR_BioMEC-X_Image_3.001.jpg
head4.png
65d043ddadccf8d063df95b5e0f68f58.jpg
Screenshot.png
Riiid-Labs-launches-AI-education-solutio
Lx2nkqDpHH.jpg
AI-and-big-data-in-education.jpg
AI20copy-2.png
32-Ways-AI-is-Improving-Education-800x45
teaching-with-ai.jpeg
ai_in_education_forum-c-lidiia-shutterst
ai_education_05.png
AI2-1000x667.png
AI-education-675x440.jpeg
ai-education_resized.jpg
Aieducation2.jpg
ai-education-banner-new-2.jpg
ai-in-education (1).jpg
Education-Inlea-Ai.jpg
hocit english_ページ_1.jpg

ACCELERATE OUTCOMES WITH A BACKBONE FOR ARTIFICIAL INTELLIGENCE.

makes machine learning operational by connecting models to the real-world decisions they inform. Often, AI/ML algorithms live in experimental vacuums. HOCITGROUP provides the end-to-end infrastructure an organization needs to apply AI/ML to real problems and real data:

  • A data foundation.  provides the data engineering capabilities an organization needs to deploy AI/ML models it can trust. Organizations use  to build a solid foundation of sufficient, quality data, then bring that data into daily operations.

  • Production deployment infrastructure. revolutionizes the way organizations build and deploy AI/ML by combining a data foundation with end-to-end algorithm deployment infrastructure. Data scientists and engineers can customize, deploy, assess, and compare across homegrown, open-source, and third-party algorithms. All models are tightly integrated with end-to-end platform capabilities, ranging from feature curation and health checks to model management to inference/serving to outcome monitoring.

  • Faster feedback loops. AI/ML models rarely work on a "set it and forget it" basis.  integrates the full model lifecycle with end user actions and feedback, and with operational decisions and outcomes. This enables operationally oriented model monitoring, management, understanding, selection, and adjustment. The result is more adaptable and ambitious AI/ML, faster.

UNITE THE ORGANIZATION AROUND A SHARED ENVIRONMENT FOR MACHINE LEARNING.

The most effective AI/ML encodes and supercharges an organization's unique expertise. That requires uniting an organization's data scientists, decision-makers, and everyday employees in an environment for collaborating on AI/ML-powered operations.  collaboration infrastructure drives AI/ML that brings the organization together:

  • A unifying ontology. ontology translates an organization's complex data landscape into human-readable concepts. built models reflect how an organization views the world and unite data scientists, engineers, analysts, executives, and operational end users around a common semantic layer.

  • Granular security controls. lets organizations define granular access control policies at the integration stage, then propagates those policies intelligently across the system. Organizations can promote collaboration confidently with granular data security and transparent data governance.

  • Model templates.model templates empower low-code and no-code AI/ML so even non-technical users can use AI to accelerate and enrich their workflows.

MAXIMIZE IMPACT AND MINIMIZE RISK WITH A PLATFORM DESIGNED FOR RESPONSIBLE ENGINEERING.

Our approach to AI/ML in  reflects our foundational belief in augmenting human intelligence, not replacing it. We believe AI/ML algorithms are most effective when they empower humans to ask complex questions, interpret answers, and act on results. At public and private sector organizations around the world, driven AI/ML is accelerating human decision-making by:

  • Surfacing new leads in dark web, weapons trafficking, financial fraud, and drug trafficking investigations so investigators can identify persons of interest more quickly

  • Aggregating and correlating biomedical research data to streamline drug discovery

  • Processing entity resolution suggestions so analysts can focus on making assessments rather than manually sorting and tagging data

  • Analyzing massive-scale sensor data so that engineers can make better aircraft maintenance decisions

  • Rapidly generating simulations while allowing operators to tweak scenario variables, leading to better-informed decisions optimized for different variables (e.g., safety rating and production quantity)

I see our approach to ethical machine learning as being grounded in an appreciation for both the promise and limitations of human-computer collaboration. The promise of AI is in augmenting and enhancing human intelligence, expertise and experience. Think helping a aircraft mechanic make better, more accurate and more timely repairs – not automating the mechanic out of the picture.

— Guolong, Co-Lead of HOCIT's Machine Learning team, in an interview with CTOVision

Protecting privacy and preserving civil liberties is fundamental to our mission.ships with technical capabilities that enable ethical engineering and ethical machine learning, including data protection features such as granular access controls, data provenance and lineage tracking, data retention and deletion management, and audit logging.  also enables industry-leading monitoring and validation for AI models. Its flexible, configurable tools let organizations evaluate model bias, in terms of both the data used to train the model and model outcomes.

We recognize that technology alone can't fully mitigate the risks of machine bias. Our dedicated Privacy and Civil Liberties team works with our engineers and our customers to approach building and deploying AI/ML thoughtfully.

hocit english_ページ_2.jpg
3-takeaways_600x334.jpg
8-entertainment-tech-trends_600x334.jpg
5-smart-cities-lessons_600x334.jpg
barbie-girl-600x334.jpg
aidrugdiscovery_600x334.png
automotive-news-shift-mobility_600x334.j
connect2car-partner-program-image.png
branding-for-good-resize_600x334.jpg
connections-summit_600x334.jpg
d70041-3-756464-0.jpg
cta-foundation_600x334.jpg
doctor-on-demand_600x334.jpg
doctors-step-up_600x334.jpg
dreamlandxr_600x334.jpg
future-of-blockchain_600x334.jpg
how-blockchain-helps-us-the-vaccine-600x
how-building-and-cars_600x334.jpg
imc-partner-day_600x334.jpg
knowledge-graphs-600x334.jpg
sae-educating-consumers-adas-600x334.jpg
self-driving-will-change-city-living-600
ダウンロード (6).png
one-smart-thermometer-600x334.jpg
sports-tech_600x334.jpg
sports-tech_600x334 (1).jpg
smart-home_600x334.jpg
sustainable-energy_600x334.jpg
tech-from-farm-to-table_600x334.jpg
tech-redefining-sports-fan-experience_60
the-coronavirus-pandemic_600x334.jpg
the-emerging-tech-that-is-shaping-the-in
variety-partner_600x334.jpg
ダウンロード (13).png
Screenshot - 2021-01-16T145938.298.png
Screenshot - 2021-01-16T131240.957.png
Screenshot - 2021-01-16T150208.443.png
Screenshot (1).png
Screenshot.png
画像1.jpg
画像1.jpg
画像1.jpg
200px-University_of_Cambridge_coat_of_ar
200px-Coat_of_arms_of_the_University_of_
E3838FE383BCE38390E383BCE38389E5A4A7E5AD

 CEO Guolong graduated from Cambridge University, PhD in Computer Science, Oxford University Professor LCFI lAB R&D

 CEO Yuhonghong graduated from Harvard University with a Ph.D. in Computer Science, MIT University

entrepreneur-593358_1920_b44586a201.jpg
Screenshot - 2021-01-16T131353.995.png
Screenshot - 2021-01-16T130026.089.png
1e7a24486671da4a425099340169435d4a446350
The-Future-of-Education-Can-AI-Make-Us-S
Ai-in-education-table.png
画像1.jpg
画像1.jpg
img05.jpg
Screenshot (1).png
r-and-d_01.png
thumb_ai_education_l-500x500.jpg
this-week-at-ibm-kyocera-20210104.jpg
teaching-with-ai.jpeg
IMG_0045.JPEG
IMG_0179.PNG
画像1.jpg
Screenshot - 2021-01-16T130753.998.png
Screenshot - 2021-01-16T035059.724.png
Screenshot - 2021-01-16T034024.502.png