Enterprise AI Growth Recipe, Simplified !

1. Customer Service

Let’s face it, we are all tired of passing through rounds of “How may I help you?” questions, just to be handed over a 10-digit complaint number and no resolution till even a month sometime. While new acquisitions are important for a business, so is retaining the acquired ones and that’s one of the crucial spaces where AI can be the gamechanger. Today when customer loyalty has become the hotspot for competitive advantage, the businesses are adopting multiple ways to ace it and pretty evidently, the ones supercharged with AI are bearing great results. Here’s a list of ways AI is boosting customer satisfaction for businesses (and you can do it too!) :

1. Chatbot-driven 24*7 customer servicing to significantly reduce response time
2. Resource & associated expense optimization through computerizing calls
3. AI-augmented messaging and email tagging for quicker customer query resolution
4. Customized user experiences through bespoke recommendations based on past purchase behavior
5. Individual to segmented level user view creation for offering modification & updation with time
6. Refined insights from customers’ online activities for targeted marketing improving sales
7. Optimized task management so no customer turns away, unattended

2. 360° Tracking

Let’s start with a fundamental question - what is the formula to achieve business success? Had it been about 8-10 years back, the answer could have been a diligent & focused workforce paired with efficient management. However, that doesn’t suffice for success anymore, merely supports a business enough to survive. Success today is almost proportional to the pace with which an enterprise adapts to emerging tech advancements. In essence, adapting to technology doesn’t only mean automating the operations, it also means using technology to track end-to-end business processes, so that even the smallest difference from the standard is detected & acted upon immediately. With an AI-driven tracking system implemented across your entire workflow, your enterprise can attain the best of observability & explainability, i.e. detecting what’s going wrong & explaining which factors caused such deviation.

3. Sped Up Production Cycle

There’s never enough volume of production for a well-rolling business, no matter which industry you think about. Higher production of consistent quality means meeting customer demands head-on & boosting revenue. However, with so many balls up in the air, be it pre or post production formalities, pulling up production volume without compromising on the quality aspect is a nut way too hard to crack! AI assists in this case too, as it enables enormous daily-generated data collection and extract analytics in real-time to amplify production while ensuring the preceding & succeeding operations are rolling fine too. With performance metrics at hand, modifying production operations becomes a data-driven, factual route. From clearing on-the-go manufacturing bottlenecks to closely monitoring scrap rates, sticking to discussed deadlines to strategically stocking raw materials, an AI solution built around your business needs can drastically increase quality, error-free produce the best way possible. 

4. Talent Management

Talent management, the umbrella term for intriguing quality candidates to join the business, training & updating employees’ skills, and satisfying employees across the service period for retention. The entire chain of tasks aimed at talent management is benefitted by implementing AI in the enterprise space in multiple ways, here’s how!

1. AI-driven job postings are more concise & targeted to prospective candidates, as it uses all probable versions of key words & phrases, scanning across multiple top-performing posts by competitors & relevant successful brands  
2. The applicant screening phase is refined by AI as it rules out chances of human biases and runs on a clean assessment process. Additionally, promising applicants are redirected to vacancies which demand such skillset.  
3. AI can enhance on-job training & learning experience for the employees primarily by identifying individual professional growth requirements and planning & scheduling learning materials accordingly, for convenient upskilling. AI-based LMS eases employee development experience by enabling flexible paced learning and on-the-go process modification based on acquired insights.
4. AI boosts employee retention by visualizing performance metrics and creating employee-focused rewarding plans for promoting employee retention.  Consistent Innovation & Expansion For any enterprise in today’s date, simply ensuring the operations are running well isn’t enough, as growth demands more - to know what the others in the same business are doing, where they are lacking and factors alike. In order to get there, by the time your human resources can only manage to scratch some 5% of the surface, a bespoke AI engine can dig through the roots, retrieving 500X grassroot insights. With such nuanced insights at hand, your enterprise can innovate in spaces where there’s calculated ROI & thus, expand footprints safely yet steadily into the target market. 

4. Consistent Innovation & Expansion

For any enterprise in today’s date, simply ensuring the operations are running well isn’t enough, as growth demands more - to know what the others in the same business are doing, where they are lacking and factors alike. In order to get there, by the time your human resources can only manage to scratch some 5% of the surface, a bespoke AI engine can dig through the roots, retrieving 500X grassroot insights. With such nuanced insights at hand, your enterprise can innovate in spaces where there’s calculated ROI & thus, expand footprints safely yet steadily into the target market. 

5. Combat Cybersecurity Threats

These days, data is to an enterprise what fuel is to a car - the driving force. Implying access to the crucial business data can cause serious damage to the enterprise wellbeing, both finances & reputation wise. That’s the loophole AI seals with its predictive & analytical solutions that pay close attention to aspects prone to cyber attacks and protect those entry points with relevant security protocol implementation. 

[a] HR & Recruitment

1. ML models self-learn commonly used versions & synonyms of a specific skill across resumes to sift out ‘top matched’ candidates according to the job requirements for quality sourcing
2. AI steps in the modern candidate screening process to select the best fit candidate from a pool of shortlisted ones, by comparing benchmark data with the organizations previous hiring information
3. When it comes to the interview & the post interview update sharing formality, AI adds up to the convenience of both the parties by providing the flexibility to schedule, cancel & reschedule and centrally updating it to everyone involved, in real-time
   P.S. - That’s just the tip of the whole lot of iceberg benefits that AI in HR & recruitment brings along.

[b] Market Research

1. AI solutions unveil emerging market opportunities and fresh trends by analyzing voluminous data collected from multiple sources and identifying patterns among them.
2. ML algorithms generate reports based on customizable metrics and thus, provide actionable insights, laying data-backed foundations for planning, modifying & innovating offerings.
3. Unlike traditional manual surveys, AI-powered smart surveys add up to the efficiency of a market research by self-evolving with each response, in order to get factually the closest to the intent. 
   …. Read more about AI in market research .  

[c] Finances & Accounting

1. AI technologies empower an invoice management system to be trained on the accounting codes to generate befitting invoices in real-time
2. Screening vendors & suppliers for enterprises is made a cakewalk as ML models auto-check the taxation history & credit scores of each for seamless onboarding
3. Artificial intelligence promotes paperless & highly accurate procurement outcomes via usage of APIs and smart tracking
4. Audits can be tedious, not with an AI-driven tracking system in place though. Artificial intelligence technologies ensure each transaction is tracked and recorded real-time to make audits faster & more efficient.

[d] Manufacturing

1. Through demand forecasting, AI can optimize stocking processes, saving operational costs & transportation costs alike
2. With ML algorithms implemented, robots can replace manual efforts in warehouse management by sped up monitoring, lifting, displacing, sorting products etc.
3. Artificial intelligence takes the concept of maintaining asset health by a spin as it supercharges preventive maintenance with predictive maintenance. That means, machine health undergoes check-ups and repairs are taken care of, way before it encounters any operational interruption 
4. Another aspect that benefits greatly by AI intervention is defect detection & quality assurance. Using advanced AI algorithms like computer vision, enterprises are monitoring end-to-end production, 24*7, implying not even a minute issue passes unattended.
   ….Know more about AI in manufacturing.

[e] Marketing, Sales & Customer Service

1. AI-driven predictive scoring tools enable high-quality lead collection in-line with the business target
2. Conversation intelligence tools powered by machine learning pace up sales calls analysis by extracting key insights in real-time
3. AI reduces response time with the help of chatbots, leading to higher customer satisfaction
4. Scheduling, driving and improving marketing campaigns is another area where AI does wonders

[1] Responsible AI - transforming a leap of faith into calculated step

With a constant influx of innovation and development in the AI space, organizations are in a pressing need to handle the AI involvement responsibly while reaping the highest benefits from it. Responsible AI, a governance framework, primarily dictates artificial intelligence implementation in a way that achieves clean results.

[2] MLOps Integration - supercharging automation

MLOps, the buzzword in the enterprise artificial intelligence world, is strengthening the fundamentals for businesses across all verticals. ML unleashes business opportunities on the go by modifying workflows to hit higher efficiency, using real-time insights & data analytics for factual decision-making, and thus, creating immersive customer experience. 

In essence, integration of MLOps plays an integral role in business for individuals, startups and enterprises to achieve the core goals. Evident reason for the skyrocketing adoption, right?

[3] Granular Level Personalized AI Adoption

Reportedly, 69% shoppers stated that they're up for using brands that makes their overall shopping experience personalized and intuitive, in short, more in-line with their needs. The contemporary AI-powered bots take that particular wish as the command and elevate personalization to a whole different level. These AI marketing tools enable the brands to get the pulse of the customers by closely analyzing user behavior & purchase patterns. In turn, it offers customized product searches, intention-oriented product recommendations, compelling push notifications etc.

[4] Federated Learning AI Improving Data Security

Federated or collaborative learning is a machine learning technique which is rapidly gaining popularity due to its ability to significantly improve data security. Primarily, it trains a specific algorithm over several independent sessions using individual, local datasets, yielding quality predictions in real-time. With its diverse dataset involvement, time effectiveness and security benefits, businesses are sure to continue investment on this in the years to come.

[5] Increased Efforts at Auditability & Explainability

Talking about enterprise artificial intelligence solutions, keeping the ML models’ health on-point is just as important as implementing ML pipeline. So, businesses are inclining towards setting up a system that runs a consistent check on the models in production & identifies the root cause of model performance degradation & drift in real-time. This way, the company offerings are not compromised, implying a steady growth.