Jamnagar, the “Jewel of Kathiawar,” is a city steeped in history, culture, and natural beauty. Whether you’re here to explore its stunning temples, serene beaches, or vibrant markets, Motoshare’s newly launched bike and car rental services make it convenient to travel around and uncover the city’s treasures at your own pace.

With Motoshare, renting a vehicle is hassle-free and affordable. Book bikes or cars online directly from local owners with just a few clicks and enjoy a seamless travel experience.

An Overview of Motoshare Services

Motoshare is redefining the rental experience in Jamnagar with its user-friendly platform. From solo travelers to families, the service caters to everyone with a range of bikes and cars to choose from.

Why Choose Motoshare?

• Diverse Vehicle Options: Find the perfect ride, whether you need a bike for quick errands or a car for a family outing.
• Affordable Rates: Skip intermediaries and enjoy competitive pricing.
• Easy Online Booking: Rent a vehicle in minutes with a straightforward booking process.
• Flexible Rentals: Options available for hourly, daily, or weekly plans.
• Reliable Service: Well-maintained vehicles ensure a smooth ride.

Start your journey today:

• Car Rentals in Jamnagar: Click here
• Bike Rentals in Jamnagar: Click here

Top 10 Places to Visit in Jamnagar with Your Motoshare Rental

Jamnagar is a city rich in heritage and natural wonders. With your Motoshare bike or car, you can explore these must-visit places at your leisure:

1. Lakhota Lake and Lakhota Fort

• Why Visit? A picturesque lake surrounded by a historical fort, perfect for history and nature enthusiasts.
• Best Time: Evening for a peaceful stroll and sunset views.
• Highlight: Visit the museum inside Lakhota Fort to explore artifacts from Jamnagar’s history.

2. Bala Hanuman Temple

• Why Visit? Known for its continuous chanting of the “Ram Dhun” since 1964, this temple is a spiritual retreat.
• Best Time: Early morning for a serene atmosphere.
• Highlight: A unique Guinness World Record for uninterrupted prayer.

3. Khijadiya Bird Sanctuary

• Why Visit? A haven for bird watchers with over 300 species of resident and migratory birds.
• Best Time: Winter months (November to February) for birdwatching.
• Tip: Carry binoculars for a better view of the avian species.

4. Marine National Park

• Why Visit? India’s first marine sanctuary offering a glimpse of coral reefs, marine life, and pristine beaches.
• Best Time: During low tide for a clear view of marine biodiversity.
• Highlight: Snorkeling and exploring marine creatures like starfish and sea cucumbers.

5. Pirotan Island

• Why Visit? A tranquil island within the Marine National Park, ideal for nature enthusiasts.
• Best Time: Winter for pleasant weather.
• Tip: Plan your visit with the help of local guides as access is restricted.

6. Ratan Bai Masjid

• Why Visit? A stunning mosque known for its intricate carvings and peaceful ambiance.
• Best Time: Early morning for a quiet visit.
• Highlight: A blend of architectural beauty and cultural significance.

7. Jain Temples at Bhadreshwar

• Why Visit? A serene site showcasing exquisite Jain architecture and heritage.
• Best Time: Morning for spiritual solace.
• Highlight: The stunning marble carvings and tranquil surroundings.

8. Willingdon Crescent

• Why Visit? A heritage site featuring colonial architecture and vibrant local markets.
• Best Time: Afternoon for shopping and exploring.
• Highlight: A perfect spot for photography enthusiasts.

9. Pratap Vilas Palace

• Why Visit? A majestic palace blending European and Indian architectural styles.
• Best Time: Morning for guided tours.
• Highlight: The beautifully landscaped gardens and intricate interiors.

10. Dwarkadhish Temple (Nearby)

• Why Visit? Just a short drive from Jamnagar, this iconic temple dedicated to Lord Krishna is a must-visit.
• Best Time: Morning or evening for a spiritual experience.
• Highlight: The vibrant atmosphere and exquisite temple architecture.

Advantages of Renting with Motoshare in Jamnagar

1. Flexibility to Explore: Travel at your own pace and create a personalized itinerary.
2. Convenient Rentals: Choose a bike for quick city commutes or a car for family outings.
3. Budget-Friendly: Affordable pricing for all types of travelers.
4. Quick and Easy Booking: A seamless process that saves time and effort.
5. Trusted Service: Well-maintained vehicles for a safe and enjoyable journey.

Start Your Jamnagar Adventure with Motoshare Today!

Whether you’re planning a weekend getaway or exploring Jamnagar’s heritage, Motoshare’s bike and car rentals offer the perfect solution for hassle-free travel. Experience the city’s charm and natural beauty with the freedom to explore at your convenience.

Ready to Begin?

• Rent your bike in Jamnagar
• Rent your car in Jamnagar

Visit Motoshare today to book your ride and start exploring Jamnagar like never before!

The post The Ultimate Rental Experience in Jamnagar with Motoshare appeared first on Artificial Intelligence.

Pune, often referred to as the “Oxford of the East,” is a city steeped in culture, history, and youthful energy. Whether you’re a visitor eager to explore its rich heritage or a local looking for flexible travel options, Motoshare’s newly launched bike and car rental services are the perfect solution. With just a few clicks on Motoshare’s platform, you can rent a vehicle directly from its owner and start your journey in this vibrant city.

An Overview of Motoshare Services

Motoshare is redefining travel in Pune by offering a platform that is simple, efficient, and tailored to meet the needs of modern renters. Whether it’s a quick ride to college, a weekend getaway, or exploring Pune’s treasures, Motoshare’s platform connects you to a wide range of vehicles, ready for any journey.

Why Choose Motoshare?

• Wide Selection: From fuel-efficient bikes to spacious cars, Motoshare has options for every need.
• Affordable Pricing: Skip the middleman and rent directly from vehicle owners for the best rates.
• Easy Booking: A user-friendly platform that lets you reserve your vehicle in just a few clicks.
• Flexible Durations: Choose from short-term or long-term rentals.
• Transparency: No hidden charges—just clear, fair pricing.

Start your journey today:

• Car Rentals in Pune: Click here
• Bike Rentals in Pune: Click here

Top 10 Places to Visit in Pune with Your Motoshare Rental

Pune offers a unique mix of cultural landmarks, scenic getaways, and bustling city life. With Motoshare’s rental options, you can explore the city at your leisure. Here’s a curated list of must-visit places:

1. Shaniwar Wada

• Why Visit? This iconic 18th-century fort is a window into Pune’s Maratha heritage.
• Best Time: Morning hours to avoid crowds.
• Highlight: The light and sound show that brings history alive.

2. Aga Khan Palace

• Why Visit? A historical monument linked to India’s freedom struggle.
• Best Time: Late afternoon for a serene visit.
• Tip: Don’t miss the beautiful gardens surrounding the palace.

3. Sinhagad Fort

• Why Visit? A trekker’s delight offering panoramic views and historical significance.
• Best Time: Early morning or monsoon season for lush green surroundings.
• Highlight: Relish some local food like pithla-bhakri at the fort.

4. Dagdusheth Halwai Ganpati Temple

• Why Visit? A spiritual hub known for its grand Ganesh idol and vibrant atmosphere.
• Best Time: Early morning for a peaceful darshan.
• Pro Tip: Visit during Ganesh Chaturthi for a festive experience.

5. Pataleshwar Cave Temple

• Why Visit? An ancient rock-cut temple in the heart of the city.
• Best Time: Morning hours to enjoy its tranquility.
• Highlight: The unique basalt architecture.

6. Pune Okayama Friendship Garden

• Why Visit? A beautifully landscaped garden inspired by Japanese designs.
• Best Time: Evening for a relaxing stroll.
• Tip: Ideal for families and couples.

7. Parvati Hill and Temple

• Why Visit? A spiritual spot with breathtaking views of Pune city.
• Best Time: Sunset for mesmerizing views.
• Highlight: The historical temples atop the hill.

8. Raja Dinkar Kelkar Museum

• Why Visit? A treasure trove of unique artifacts and cultural heritage.
• Best Time: Mid-morning to explore at leisure.
• Tip: Allocate at least 2 hours to explore its extensive collection.

9. Mulshi Dam and Lake

• Why Visit? A scenic getaway for nature lovers.
• Best Time: Monsoon season for lush greenery and flowing waters.
• Highlight: Perfect for picnics or a relaxing day by the lake.

10. Lavasa

• Why Visit? A planned hill city known for its picturesque setting and adventure activities.
• Best Time: Winter months or early mornings.
• Pro Tip: Rent a car for a comfortable drive to this destination.

Advantages of Renting with Motoshare in Pune

1. Freedom to Explore: Discover Pune and its surroundings at your pace.
2. Flexible Rental Durations: Rent a bike or car for a few hours, days, or longer.
3. Cost-Effective: Enjoy competitive rates tailored to your needs.
4. Reliable Service: Vehicles are well-maintained and ready for every adventure.
5. Convenient Process: Book online anytime, anywhere.

Plan Your Pune Adventure with Motoshare Today!

Whether you’re planning a day of sightseeing or a weekend escape, Motoshare makes it effortless to find the perfect ride. Experience the freedom to travel without limits and explore Pune like never before.

Start Exploring Today:

• Book your bike rental in Pune
• Book your car rental in Pune

Visit Motoshare to find your ideal ride and embark on a journey to remember. Pune awaits—start your adventure with Motoshare!

The post Experience the Best of Pune with Motoshare Rentals appeared first on Artificial Intelligence.

The organization leverages big data analytics for effective customer experience.

With digital transformation and innovation, access to a huge pile of information as well as data which includes buying behaviour and preferences of customers has become easily available. Unlike traditional CRM information, data is now collected increasingly from blogs, social media posts through the use of smartphones and other digital sources. This varied information and data are known as big data.

Modern technology serves in providing tools to all industries that enhance operations leading to maximization of revenue and minimization of waste. As a result, many industries now have access to updated information about customer experience, financial transactions, product acceptance. Decision-makers can view, analyse and reply in real-time.

Unlike traditional data, big data is unstructured and distributed, and it is impossible for traditional SQL databases to manage and control those data. Therefore, big data analytics are required to evaluate and measure a huge pile of information collected from customers.

Big data analytics, is a method of advanced analytics, which includes multifaceted applications with elements such as predictive models, statistical algorithms powered by analytics systems.

Organizations can make use of big data analytics to make informed data-driven decisions that can result in an improved business-related outcome. This can lead to more effective and efficient marketing, customer personalization, and new revenue opportunities.

How to make use of big data analytics for better customer experience-

Build a data centre

Collecting all information and data and assembling them into one place creates a clear, enterprise-wide data layer giving prominence to all departments. This enables organizations to make informed choices for customers and employees. Big data analytics can simplify and transmute customer and company relationships. Using data analytics helps the organization to know their customers better and this helps in minimizing or rather bridging the gap in their marketing strategies.

Identify customers effectively through data

Building a strong data platform and using big data analytics helps in gaining access to all the information about the customers which leads to effective identification of customers. Also, it helps in collecting customer feedback which is useful for product innovation and market strategy. Through big data, analytics organizations can build loyalty towards the customer as well as respond to their complaints. This will also help in tracking marketing trends.

Advancing talent recruitment and retention

Accessing functional data helps in fuelling improvements in the field of hiring and getting candidates more effectively and efficiently. This helps in reducing hiring time, decreases costs, and also enhances candidate’s and company’s experience. Big data analytics helps in the growth of a company’s digital and analytical models. It is important to put more employees at the forefront to make use of big data analytics to access data which will allow them to make effective decisions for the organization as well as customers.

Access to personal information

Big data analytics helps in collecting personal information (gathered through big data) about a customer, thus helps in interacting with the customer in a meaningful and productive way. Thus, this level of customer personalization in brand communications can be expected.

Track customer behaviour and motivation

Big data analytics can be used to find out customer sentiments and behaviour. Through big data analytics, it is also easy to track customer experience and review which enables an organization to make an informed decision about customer behaviour.

No matter what industry or organization it is, big data analytics are used to find a way to improve market strategies by getting access to a huge pile of data through social media posts, blogs, etc. With more data available than ever before, big data analytics is used to improve and enhance customer experience.

The post IMPLEMENTATION OF BIG DATA ANALYTICS FOR BETTER CUSTOMER EXPERIENCE appeared first on Artificial Intelligence.

For the restaurant industry, 2020 was a year marked by rapid innovation and adaptation amid the COVID-19 pandemic. Throughout the year, restrictions tightened and loosened across the country, forcing brands to adapt their business models at an unprecedented pace in order to survive. Now, in 2021, the industry’s focus is turned less toward adaptation and more toward improving operations and recapturing profits in the midst of supply issues, high third-party delivery fees, and staffing difficulties, which all strain the bottom line.

As a result, many chains have focused their energies on creating and maintaining online ordering platforms, introducing mobile applications, and incentivizing customers to return through customizable loyalty programs and targeted digital marketing campaigns. However, restaurants are now managing more channels than ever before, requiring a presence in drive thru, carry out, delivery, and online ordering, as well as in newly reopened dining rooms, making it even more challenging to manage these programs. While restaurants have turned to technology to streamline these initiatives, finding all the resources they need in one platform has traditionally been difficult, especially for small to mid-sized brands.

Just ask Justin Egan, chief marketing officer and co-founder at Wing It On!, a growing North Carolina-based quick-service chicken brand with eight brick-and-mortar locations across six states. Egan says that while the leaders of the brand—which first opened in 2011 and began franchising in 2014—knew its customer base was adopting online and mobile ordering, that technology was out of reach for smaller brands without deep enough pockets to develop it for themselves or to hire a vendor to build it. When they were finally able to introduce a mobile app in 2018, it was only able to list hours and locations and provide guests with photos of dishes.

“We decided we needed something more user friendly that could provide a branded Wing It On! experience and the functionality to not only manage digital orders, but that could also help us connect with our customers and drive digital revenue without requiring too much manual maintenance,” Egan says.

That’s when Wing It On! turned to Incentivio, an all-in-one digital platform that helps restaurants manage their marketing, branded mobile apps and web ordering, loyalty programs, delivery, gift cards, curbside pickup, and customer database. 

“Introducing online and mobile ordering that was fully integrated with our POS was really what drew us initially to Incentivio,” Egan says. “The platform is very robust and offers tons of great features for restaurants to leverage that would typically require integrating, paying for, and managing multiple platforms, databases, and vendors. We can manage our mobile and online ordering, loyalty programs, push notifications, rewards in one platform that also provides a machine learning driven marketing engine. It was a game changer for us at so many levels”

Rich Long, director of implementation at Incentivio, was previously an Incentivio customer in his role as director of IT for several different restaurants across the quick-service, fast-casual, and full-service segments. He says he knows firsthand just how cumbersome managing so many disparate systems can be.

“When you maintain multiple systems for your data, online and mobile ordering, loyalty programs, and more, your entire ecosystem is ripe for errors,” Long says. “This is often because if you change something in one place—say an item you offer in your online ordering system—you might forget to change it everywhere else. Having all these systems in one platform and a single database allows you to reduce errors and save both time and money, while also creating a single source of information so all your reports are integrated.” 

Egan says Incentivio makes managing the company’s loyalty program frictionless. Guests earn incentives based on their orders and actions, like referring friends, and each time the brand launches a new LTO, Incentivio makes it easy for Wing It On! to announce new offerings through both push notifications and email.  

“Incentivio has allowed us to create a digital experience that’s both convenient and easy for our fans and simple to manage for our company; our franchisees are often astonished at how much we can offer with this one system,” Egan says. “In fact, we’ve even seen candidates who passed on franchising with us in the past come back and sign franchise agreements with us because we use Incentivio.”

Not only has the system helped save Wing It On! time and generate sales through the built-in marketing tools, but the chain is now also using Incentivio’s new autonomous recommendation engine. This new suggestive upsell tool uses past data to understand which sides, desserts, and beverages are commonly ordered with center-of-the plate items and which items a guest already has in his or her cart to make smart recommendations that help restaurants generate incremental revenue and increase average check sizes. “Simply by turning this feature on, we’ve seen a 4 percent increase in digital revenue driven autonomously through the upsells engine—we didn’t have to lift a finger to start seeing results,” Egan says. 

“In 2020, the restaurant industry had to become lean,” Long says. “You can no longer have an IT department of 25 and an operations team three layers deep, so the more restaurants can simplify the better. By bringing all of these tools into one easy-to-use yet powerful platform, restaurants of all sizes have access to the technology they need to become more efficient, save time, and drive sales without a multi-million dollar IT budget.”

Long adds that just from the new upsell recommendations engine alone, some of Incentivio’s customers are generating more in automated incremental revenue each month that the cost of the entire Incentivio platform.  

“As an emerging brand that was actually thriving during the pandemic due to our digital presence, it was difficult to find technology partners that were also thriving and innovating,” Egan says. “We felt well positioned to have Incentivio as a partner during this time. They never dropped the ball, and that really stresses the importance of choosing the right vendor partners to grow with you through the thickest of times. Wing It On!’s future is bright, and we’re on trajectory to have 100 stores in the pipeline by 2024. We know Incentivio is able to quickly scale with us, and we’re excited to continue our relationship.”

The post A Machine Learning Powered Guest Experience Platform is Helping This Emerging Brand Grow appeared first on Artificial Intelligence.

Big data in hospitality sector is utilizing technology to streamline customer experience

Ever been on a tour and felt that everything is happening your way, starting from the appearance of the room to the travel arrangements? If so, you have been one of those lucky people who have already experienced the sophistication of big data in hospitality industry. Businesses around the world are already waking up to the importance of big data analytics. Getting the right insights gives you an advantage in a competitive business environment, and hospitality industry is no different from it. Big data in hospitality sector is utilizing technology to streamline the customer experience.

The term big data was coined in 1990. But the technology got its recognition only when social media platforms like Facebook arrived on the scene in 2005. With people generating infinite amount of data every day, big data applications are invading everything from product management to fraud detection. Big data defines the collection of information from both online and offline sources to support the ongoing development and operations of a company or an organization. In hospitality industry, big data solutions are mostly associated with customer behavior and interactions. Hotels and other facilities functioning under the hospitality industry fence are getting a grip with the concept of big data analytics to increase its performance and revenue.

From a broad perspective, travel and hospitality firms are the accelerators of mood. They blow up people with extraordinary content to make them joyful during their trips. A hotel’s performance highly depends on how well they help people carry precious movements. Customers too expect a lot from the companies. They want hospitality industry to do more than cater to their needs, they look forward to their needs being anticipated. Big data is one way to unlock a better, more tailored experience. Hotels use big data analytics to optimally price and manage their customers. Big data applications also help hoteliers to tune in to customers’ wants and deliver them with the right content. Henceforth, let’s look at some of the applications of big data in hospitality industry.

Hotel revenue management 

Anticipating the needs of consumers is very important in hospitality industry. Especially, mandatory things like the number of rooms needed should always be taken into account to boost the hotel performance. Fortunately, hospitality industry is gaining insight by utilizing the available big data and collecting more data from online platforms and third parties. Big data content like the information on occupancy rates, current bookings, key performance metrics, school holidays, local events, etc will contribute to better hotel performance. They carry out big data analytics to more accurately anticipate the level of demands. This will directly impact the hotels revenue management strategy.

Personalized marketing and advertising

Marketing and advertising sector is one of the loyal users of big data solutions, almost in all industries. They place data at the center of their strategies and use it to improve efficiency, reduce wasted ad spending and create a more engaging advertising experience for consumers. It is no different in hospitality industry. Big data leverages a more detailed understanding of guest performances, the way they book, and other vital metrics. Big data analytics provide the marketing team with a special focus to concentrate on a detailed understanding of customers’ behavior. This allows marketers to create a more specific segment of ads that focuses on a particular or a group of people.

Addresses the internal pain points

Hospitality industry is also a hub of confusion and chaos at times. Everything doesn’t go well always. Restaurants might sometimes find themselves in the void of fewer sales and rational customers. However, there could always be a reason behind the sudden plummet in the routine. Fortunately, big data can help restaurants find where they lack behind. With the help of big data applications restaurants can perform analysis and see which item has made the void and ask the chef to redo it. Besides, big data collected from hospitality industry can be used for the front-of-house operations as well.

How to bring big data into the hotel’s culture?

Even though big data plays a massive role in enriching the performance of hospitality industry, not all data are considered valuable. Driving the right data will enhance business profit. However, to begin with, implying big data applications in the hospitality industry, the organizations should initially be open to fund the motive. Moving forward, they should train the employees to embrace big data analytics in every decision they make.

For example, Marriott International is one of the greatest facilitators of big data solutions. The company uses data to track competitors’ brands and hotels, identify new revenue streams outside of rooms such as new facilities and services, and make sure they are satisfying both guests and people in the local community. Marriott especially utilizes big data to enhance revenue management and customer satisfaction.

The post BIG DATA IN HOSPITALITY INDUSTRY: GIVES YOU PERSONALISED EXPERIENCE appeared first on Artificial Intelligence.

The term “digital transformation” has become so ubiquitous that it can mean almost any change from a manual process to an electronic one. But why do we have to think of change in terms of digital transformation? Few would argue that replacing an inefficient manual task with automation is a “transformation.” However, I think of change in terms of innovation, in terms of altering how we do something or the way we behave—in terms of disrupting an ecosystem. Innovation isn’t just automating processes that already exist, but rather applying technology to solve a problem in a different way.

In my view, one of the best ways organizations can approach a given problem space is by leveraging the myriad of data they collect every day. Data analytics comes to mind, of course — crunching a sea of data to find correlations and insights we can use to make a process better. How then do we decide what to do with those insights? You develop and train machine learning (ML) models to make more accurate, unbiased decisions based on the available data. Then you apply artificial intelligence (AI) to suggest the best way to act on those decisions to improve the chance of a successful outcome.

Using AI/ML for innovating the customer experience

One of the most visible targets of transformation initiatives is to improve the customer experience. The internet has removed geographical distance as a barrier between you and your competitors, so a company’s online presence is more important than ever. That’s why everyone is rushing to provide ever more-engaging online experiences, to hold a prospective customer’s interest.

Numerous companies provide website plugins to track a visitor’s clicks and actions, analyze them to intuit intention, and determine, for example, what content, advertisement, or offer to display next. Going beyond that, today’s most successful e-commerce sites also use AI/ML to personalize each shopper’s experience, like the order and presentation that will most likely result in another click or a purchase.

AI can anticipate with near certainty—based on past and present action, search patterns, profiles, external demographics and more—what a customer wants to see now and will do next. If successful, your website visitors will come to feel at-home, excited, and perhaps even brand loyalists. They’ll buy more and return more often.

But digital innovation shouldn’t stop with customer experience

There is nothing wrong with applying analytics, AI, and ML to create a more innovative and engaging customer experience. Not doing so can put you behind your competition. It’s all about building customer loyalty and boosting revenue.  

No matter how important customer experience is, however, it is a mistake to believe it is the only operational area that can (and should) be transformed using technologies like these. After all, today’s enterprise amasses data about more than just customers and orders. Your company, product, and delivery must broadly innovate — and all these happen on the backend. The efficiency of your internal operations — your support team, supply chain, production, inventory, quality control, human resources, and so on — can all benefit from applying AI and ML technologies. Consider just a few of many possible examples.

• Motivating a remote workforce – With so many teams working remotely, first-hand observation of employee engagement is next to impossible today. AI can analyze which applications employees use most, possibly even judging their levels of efficiency or frustration. Organizations can understand how happy, motivated, and engaged teams are so they can maintain or increase efficiency and productivity.
• Refining a business model and marketing – Beyond mere numbers, AI can analyze which products in your online portfolio work best and for which shoppers. Yes, this can help you shape the online customer experience. But it also lets you adapt which products you choose to keep or eliminate from your lineup (your business model) and adapt your offers based on observed customers’ choices or preferences (your marketing strategy).
• Protecting intellectual property – Organizations can even protect their patents, intellectual property, and product uniqueness by using AI, ML rules, and image recognition to smartly crawl the web to identify look-alike products and would-be theft.

The possibilities for internal process improvement across the enterprise are endless.

AI/ML isn’t just for large technology companies

In short, companies should apply AI/ML innovation to their operational processes as much as they do to the customer experience. Artificial intelligence isn’t just for technology companies, nor is it for analyzing and solving only technology problems. Organizations can use it to better understand their customers. They can use it to automate inefficient internal processes. They can leverage it for improving online security, boosting employee engagement, and reducing theft and risk.

Why aren’t more companies using AI? Frankly, they do not know how to start. They know they need to use it, but they don’t know where to “plug it in” to their systems first. Or they think they have to hire a team of AI engineers and build their solution from scratch.

Today AI is available for any company to use and benefit from, even smaller companies, without the need for a team of experts. There are many commercial apps and solutions in the marketplace that readily adapt to an organization’s existing processes. Some are even SaaS- and cloud-based solutions, meaning they do not require a big infrastructure investment to get started. The important thing to know is that any company can start small and scale up their AI solution in their own time — but getting started is the only way to stay competitive.

The post A better customer experience is important, but it’s just one way AI and machine learning can transform the enterprise appeared first on Artificial Intelligence.

The world today is bombarded with continuously growing big data sets. This large amount of data is being produced every minute by businesses as well as individuals. Processing such voluminous data requires advanced analytics solutions. This is where big data analytics comes in, playing an indispensable role in analysing big data sets to uncover information.

So, What is Big Data Analytics?

Big Data Analytics refers to a form of advanced analytics and helps excerpt meaningful insights, such as unexplored correlations, hidden patterns, market trends, and customer preferences. It involves complex applications with elements like predictive models, statistical algorithms, and analysis powered by analytics systems.

How Big Data Analytics Can Help Improve Customer Experience?

Effective and successful delivery of customer experience relies on data. This data is typically collected by companies to understand their customers’ behaviours and deliver personalized, on-demand offerings to make consumers happier. This collection of customer data helps businesses with market competitiveness, user productivity, sales revenues, and eventually the customer experience.

Here are some ways how big data analytics can help improve the customer experience.

Personalization: Big data analytics can find out hidden patterns present in the data. It enables businesses to get to know their customers and effectively facilitate and transform customer-company relationships.

Build Customer Loyalty: Big data analytics allow organizations to actively build loyalty rather than just respond to customer queries. As it provides a quantitative and qualitative view of business, enterprises can pull out meaningful trends that can be translated into better products, services, and operational activities.

Track Customer Behaviour: Big data analytics is constructive in identifying what is behind customers’ behaviours. It allows firms to get personal with their customers and drive the quality of customer experience.

Data Collection: Today, every search, voice command, and major purchase may be recorded as people go about their professional and private lives. In the era of digital marketing, many companies now maintain profiles with thousands of data points about each individual.

Customer Retention: Data has maximum potential that aids businesses in planning ahead based on specific users’ interests.Data-driven customer experience is imperative in improving customer retention, engagement, and growth.

Predictive Analysis: With an optimized solution and predictive analysis, data can be much more useful, especially when it comes to determining what might interest a business customer now and in the future.Predictive analytics solutions help companies get to know what might happen, and prepare a response in advance, get ahead of the risks and influence the outcomes.

More Convenient Support: Once trained, data-driven systems can work with all existing channels, including voice, email, SMS, and more, often without human oversight. With big data analytics, customers even get more convenient, get responsive support across preferred platforms.

The post HOW BIG DATA ANALYTICS CAN BE USED TO IMPROVE CUSTOMER EXPERIENCE? appeared first on Artificial Intelligence.

Artificial Intelligence has begun to enter every spectrum of business and every day life. We have started experiencing transformation in travel, entertainment, shopping, food delivery, banking, learning, personal assistants, to name a few. In many of these examples, AI is playing assistive, augmentative or sometimes, autonomous force. Competitive forces impacted by AI are acting as triggers for large well-established businesses to rethink their business models in order to survive and avoid extinction in some cases and in others to create new growth trajectories and build on their brand legacies.

Therefore, rather than flighting the progression of technology or AI, the success of leadership lies in deploying AI in smart ways that would benefit the business. The need of the hour is to develop versatile leadership acumen that is capable of not just handling AI but dealing with the transition from AI to Extended Intelligence (EI).

EI is the use of AI to enhance human intelligence. Human intelligence and AI are good at balancing out each other’s weaknesses and complementing each other’s strengths. Hence it is important to change the mental model about what is important in one’s role and begin focusing on what can humans do better than any smart machine.

By recognising that machines and AI have better ability to crunch enormous amounts of data in a short period of time, improve outcomes and lower costs and there is no point in trying to compete on these fronts, leaders can use their emotional intelligence, superior comprehension capability and decision making capability that machines are not equipped to address. Therefore leaders should develop the competency to train AI systems, build models and assimilate large quantum of data in order to synthesise the data into meaningful insights.

Leaders also need to learn to appreciate the dynamics of machine to machine relationship as well as man to machine relationship and groom teams to build capability to manage teams comprising of both machine and humans. What this would also lead to is to be able to constantly adapt to shifting balance of power and influence of both man and machine. Collaboration with teams and valuing contribution of partners and interest groups would become even more critical in the coming years in order to foster innovation.

In this context the emotional intelligence which has been considered a critical cornerstone for successful leadership has now assumed even more significance. How to better manage, influence and relate to people and motivating them for better performance by adapting to technology trends is what leaders have to offer and where they can excel as compared to AI and machines.

As an outstanding leader who is a great listener and motivator of people, even when technology changes take place, the contribution of such a leader would continue to be valued. Machines do not have feelings and therefore empathy that business leaders demonstrate could go a long way in establishing trust and building positive relationships. Business leaders must also ensure that they go beyond the immediate benefits AI can deliver to monitoring the ethical impacts of AI technology on their workplace, customers, and reputation.

They need to expand their limits of toleration of risks and ambiguity while showing resilience in the face of constant change.

In summary in the age of AI, leaders have to play the game differently by thinking, acting and reacting differently thus requiring transformation on the cognitive, behavioural and emotional domains.

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Big Data is very important, and there is no doubt about this fact. Big Data has proven its mettle over the period of time. It has definitely become one of the most valuable, innovative and exciting technological offerings for the world.

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Sagent Lending Technologies announced today an initiative to transform the borrower and the lender experience through Microsoft Azure. Sagent will leverage the potential of artificial intelligence, machine learning, data science, and cognitive services available on Azure that will provide a reimagined experience for Sagent clients and their consumer borrowers.

Building on the SaaS technology and business process outsourcing capabilities, Sagent Lending Technologies, a joint venture between Warburg Pincus and Fiserv, Inc. is partnering with Microsoft to transform the experience of auto, mortgage, and consumer borrowers.

To accomplish this, Pennsylvania-based Sagent is working to deploy, operate, and secure software and services for the future of lending. This integration will use Azure to drive new levels of operating scale, end-to-end digital agility, and enhanced speed-to-market for Sagent clients that comprises a wide ecosystem of auto, mortgage and consumer lenders. It will also bring advanced data management and customer analytics that will be supplemented by Azure AI and Machine Learning tools to create an unequaled experience for borrowers and lenders.

“Having a vision for the future and realizing that through a thoughtful innovation plan supported by a strategic technology partner is what will uniquely allow our Sagent clients to win in the ever-evolving lending marketplace. Sagent is the technology partner for lenders who are willing to be a few steps ahead of the rest of the industry in realizing the future,” said Shaimaa Elk, EVP, CIO at Sagent Lending Technologies. “As a Microsoft Partner, Sagent’s utilization of the full breadth of the Azure cloud is central to realizing a vision for the future of lending and will benefit all of our clients by creating real innovation today and tomorrow.”

Toni Townes-Whitley, President of US Regulated Industries at Microsoft said, “Sagent Lending Technologies is embarking on a mission to change the face of the auto, mortgage, and consumer lending industry. We will be able to offer our mutual clients greater flexibility in how they receive and consume Sagent’s solutions using Microsoft technologies, and we will create a new customer experience and financial ecosystem in this digital age.”

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