Machine Learning Consulting to Automate Your Business
Eliminate inefficiencies, reduce human error & make lives better.
We help businesses leverage machine learning and NLP to increase business efficiency, reduce human errors & boost revenues. We discover the best AI automation opportunities, plan an execution strategy, and work with you through implementation. Contact us to learn how we can help with our machine learning consulting service!
Are you looking for an expert
Machine Learning Consulting service?
Opinosis Analytics is a growing AI and Machine Learning Consulting firm. We have helped companies like yours automate their business processes and make better decisions with data. With over a decade of experience solving complex AI problems, we know what works and how to use the right thought process to solve specific AI challenges. Be it technical or management challenges, our experts will work closely with you to find the best solution for your unique needs.
Contact us today if you want an expert team to help you implement effective AI and machine learning strategies for your unique challenges!
How we help with Machine Learning Consulting
We offer a range of AI & Machine Learning consulting services including AI opportunity analysis to find you AI automation opportunities, AI strategy & coaching to drive implementation, custom solution implementation & text analytics to help decision making from complex data sources.
Coaching & Strategy
Have an idea but don’t know how to proceed? We will bring your AI vision to life. We help develop working strategies at the planning and implementation stages to move your AI agenda forward.
Super-charge your analytics capabilities with complex data sources and AI. We’ve dug deep into customer support conversations, social media comments, and user reviews to extract meaningful insights. Let us do the same with your data sources!
Are you struggling with models that aren’t working as expected? We perform rigorous model assessments over 8 different aspects to help you fix problems and improve the accuracy and efficiency of models.
Custom Solution Implementation
Get complex AI systems developed by experts. We can help you with text classifiers, keyword extraction systems, recommendation systems, and more. This service starts with a thorough analysis of your current technology stack, business goals, data availability, and more.
How our AI consulting services has helped clients like you.
Learn how Opinosis Analytics uses Text Analytics on patient feedback data to assist with patient experience transformation.
How we improved text classification accuracy of 45 primary categories and 45,000 sub-categories for a legal tech outfit.
What is Machine Learning?
Machine learning is about helping computers learn patterns from data with limited human intervention. By understanding these patterns, the next time the computer sees something similar, it knows what decision to make.
For example, to predict if an incoming email is a spam or not, the computer needs to first learn what makes emails spammy or legitimate.
By analyzing hundreds of historical spam and legitimate email examples, the computer will uncover hidden patterns that translate to spam. You can use this type of learning to solve many real-world business problems.
Types of Machine Learning
There are two primary types of machine learning algorithms:
- Supervised learning algorithms – This group of algorithms learns from data by being shown the “correct” answers, also known as labels. Supervised learning is often used to solve classification and regression-type problems.
- Unsupervised learning algorithms – This group of algorithms is programmed to automatically learn hidden patterns in data without being told the correct answer. Clustering and grouping problems often fall into this category.
Machine Learning Examples
Amazon’s product recommendations. Some of Amazon’s recommendations are based on what you’ve already ordered and what other people “similar” to you have ordered and tend to purchase. Amazon uses machine learning to discover such similar customers and recommend relevant products that you may like.
The spam filters on your Gmail account. Machine learning is part of what powers such tools—the words that are likely to be in spam emails, terms unlikely to be in spam emails, and the differentiating characteristics between spam and non-spam emails—all of this is taken into consideration in generating ML-driven spam or not-spam classification.
Machine Learning: Frequently Asked Questions
We frequently get questions about how our machine learning consulting / AI consulting works, associated fees, and the type of work we do. This FAQ is intended to answer some of the general questions so that you’re well-informed before you engage our services. If you have questions that are not answered by this FAQ, of course, feel free to contact us directly.
First of all, we’ve been doing AI long before it became a hot topic in the business world. So we have a lot more first-hand experience (both in industry and academia) than many of the newer companies or consultants who are just dipping their feet into AI.
Plus, to get AI to really work for your business, it’s not just about building models. You have to be strategic about what you build, how you do it, and how you evaluate success. There’s a heavy management and strategic decision-making aspect to AI, which we’ve mastered through the years by managing and doing AI.
We’ve been able to extract our experience and codify that as frameworks and steps to follow as you will see in many of our blog articles and our AI book.
Further, while many consultants will keenly do the work they’re asked to do, we focus on the clarity and purpose of every AI initiative to get you results. With this, both parties (client and consultant) will understand the results you’re organization is looking to achieve and the pain points you’re attempting to address. While this may seem like we’re blowing our own trumpet, our approach has worked for dozens of clients.
We help develop the AI capabilities of clients at different stages of their AI journey.
If you’re in the beginning stages of AI, we offer AI training for business leaders and executives, AI transformation services, AI strategy development, AI opportunity analysis and we help you pilot AI for specific initiatives.
If your organization is already familiar with AI or has models in production, we help with model optimization, prototype development, metrics set up, and we help evaluate the success of AI initiatives. For some of these services, we primarily coach and you do the work. For some, such as prototype development we do some of the preliminary work, and you extend and integrate it into your workflow.
We also help companies leverage their text data for decision-making through intelligent data analytics.
In terms of technical specialization, we are experts in NLP, Search Technologies, and Machine Learning. Some of the work we’ve done over the years include:
- Develop and optimize recommendation engines
- Insights extraction from surveys, user reviews and different types of free-form text data
- Search log analysis
- Search relevance optimization
- Speech-to-text model improvements
- Text/document classification development and optimization
- Sentiment analysis
- Keyword/topic extraction
- Synonym database development
Our consulting fee varies by type of work. Here’s a rough estimate of how much we charge:
|Type of work||Fee (USD)|
(e.g., Prototyping, Model Optimization)
|$250-$350 an hour (~$2400/day)|
Minimum project size: $10,000
|Advisory Work||Depends on team/company size and engagement model|
|One Time Strategy Session||$650-$1000 for a 1 hour session|
For other types of engagement, please contact us for a fee estimate and to speak with our principal consultant.
Get Started with ML Consulting Today
Fatal error: Uncaught Error: Class 'Elementor\Scheme_Color' not found
in /home/customer/www/opinosis-analytics.com/public_html/wp-content/plugins/ultimate-elementor/modules/wpf-styler/widgets/wpf-styler.php on line 339
Fatal error: Uncaught Error: Class 'Elementor\Scheme_Color' not found in /home/customer/www/opinosis-analytics.com/public_html/wp-content/plugins/ultimate-elementor/modules/wpf-styler/widgets/wpf-styler.php:339 Stack trace: #0 /home/customer/www/opinosis-analytics.com/public_html/wp-content/plugins/ultimate-elementor/modules/wpf-styler/widgets/wpf-styler.php(138): UltimateElementor\Modules\WpfStyler\Widgets\WpfStyler->register_input_style_controls() #1 /home/customer/www/opinosis-analytics.com/public_html/wp-content/plugins/elementor/includes/base/controls-stack.php(2280): UltimateElementor\Modules\WpfStyler\Widgets\WpfStyler->_register_controls() #2 /home/customer/www/opinosis-analytics.com/public_html/wp-content/plugins/elementor/includes/base/controls-stack.php(494): Elementor\Controls_Stack->init_controls() #3 /home/customer/www/opinosis-analytics.com/public_html/wp-content/plugins/elementor/includes/base/widget-base.php(177): Elementor\Controls_Stack->get_stack() #4 /home/customer/www/opinosis-analytics.com/public_ht in /home/customer/www/opinosis-analytics.com/public_html/wp-content/plugins/ultimate-elementor/modules/wpf-styler/widgets/wpf-styler.php on line 339