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Artificial intelligence is here, and is now essential to accelerate, grow, and facilitate a product cycle for business of all types, around the world.
Whitepaper: How Companies Can Start Using Artificial Intelligence
From natural language processing to cost forecasting, AI is poised to infiltrate every industry imaginable.
The recent advent of Transformers in the AI space has now made IBM Watson like experiences possible without the need for a massive data center.
Employees and customers walk in and out of your facilities every day. Imagine the possibility of recognizing those people and providing personalized experiences for them or identifying new customers.
With enough data, artificial intelligence can be used to determine fraudulent transactions, spot duplicate data, and provide forecasts on organizational needs and profitability.
of respondents using AI today agree that AI will be the competitive edge of the future.
2020 Avande “Becoming AI Driven.”
AI algorithms can learn from data, even enhancing themselves by learning new strategies and methodologies, some even write their own new and complex algorithms. AI can help automate and optimize an operation, increasing productivity, reducing human error, and maximizing ROI.
Machine learning explores the construction and study of algorithms that can both learn and make predictions from data. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following explicitly programmed instructions.
Deep learning’s self-adaptive algorithm, known as a neural network, mimics the processes of the human mind, creating intelligence from unstructured and unlabeled data. It helps with object detection, speech recognition, language translation, and even fraud discovery.
Through text analysis, Natural Language Processing (NLP) extracts information from the written and spoken word using AI algorithms. With NLP, value can be extracted from vast quantities of unstructured text and voice data on social media, CRM systems, and other customer databases.
We offer artificial intelligence (AI) consulting services that help businesses take advantage of the latest AI technologies to enhance their operations, specializing in machine learning, deep learning, natural language processing (NLP), computer vision, neural networks, predictive analytics, data mining, and data analytics. Our team provides a wide range of AI solutions, including image recognition, pattern recognition, sentiment analysis, text analytics, speech recognition, robotics process automation, chatbots, virtual assistants, recommender systems, and personalization, to help businesses create more meaningful customer engagements.
We also provide data preprocessing, model training, model deployment, and model maintenance services to ensure that clients' AI systems are always optimized and up-to-date, and we help businesses develop a roadmap for implementation, ensuring they understand the full potential of AI and how to apply it to their specific needs.
How Companies Can Start Using Artificial Intelligence
"We've positioned ourselves for artificial intelligence with models and algorithms and overall a better playbook for our clients."
Jeff Sherwood, Senior Product Design Consultant, Product Perfect
"Product Perfect's implementation teams are, without exception, the best designers and developers we've ever worked with."
Audrey Bridges, Treasurer, Bloom Benefits Association
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"Bringing product perfect in to help us refine our software applications was one of the best decisions we ever made as a company."
Marshall Cook, CEO, BalanceGenics
Landing AI
Instrumental
Elementary
Fero Labs
Lattice Flow
Robust Intelligence
TROJ.AI
Fiddler
Zeni
Unit21
EvolutionIQ
Cervest
Tractable
Sword Health
Syllable
Whisper
Insillco Medicine
ACTIV Surgical
Aside from our full service technology software consulting general offerings, we offer various other types of Artificial Intelligence services, including these below.
Senior consultants with previous experience with these types of projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.