Gwalior, a city steeped in history and architectural splendor, is a gem in Madhya Pradesh. Famous for its grand forts, palaces, and temples, Gwalior offers an unforgettable experience for travelers. Whether you’re a history enthusiast, a nature lover, or simply looking for a getaway, this city has something for everyone.

To make your exploration smooth and enjoyable, Motoshare introduces its bike and car rental services in Gwalior. With Motoshare, you can rent a vehicle of your choice directly from trusted owners, making your trip hassle-free and convenient.

Start your journey with ease:

• Car Rentals in Gwalior
• Bike Rentals in Gwalior

Why Choose Motoshare in Gwalior?

1. Effortless Booking
   Rent bikes or cars with a few simple clicks on Motoshare’s user-friendly platform.
2. Wide Range of Vehicles
   Whether you need a scooter for city rides or a car for family outings, Motoshare has the perfect vehicle for you.
3. Affordable Rentals
   Direct rentals from vehicle owners ensure competitive pricing with no hidden costs.
4. Flexible Plans
   Choose from hourly, daily, or weekly rentals based on your travel needs.
5. Eco-Friendly Options
   Explore sustainable travel options with electric bikes and cars.
6. Reliable and Verified Service
   All vehicles are maintained by verified owners, ensuring a safe and dependable rental experience.

Top 10 Must-Visit Places in Gwalior with Motoshare

With your rented bike or car, discovering Gwalior’s rich heritage and natural beauty becomes effortless. Here’s a curated list of the top places you must visit:

1. Gwalior Fort
   • Highlights: Known as the “Gibraltar of India,” this fort is an architectural marvel with stunning views.
   • Best Time to Visit: Early morning or late afternoon to avoid the heat.
2. Sas-Bahu Temples
   • Highlights: Intricately carved twin temples dedicated to Lord Vishnu.
   • Best Time to Visit: Morning hours for a peaceful ambiance.
3. Jai Vilas Palace
   • Highlights: A grand palace showcasing European architecture and royal artifacts.
   • Best Time to Visit: Daytime for a full tour of the museum.
4. Teli Ka Mandir
   • Highlights: A unique blend of Dravidian and North Indian architectural styles.
   • Best Time to Visit: Early mornings for cooler weather and fewer crowds.
5. Sun Temple (Surya Mandir)
   • Highlights: A stunning replica of the famous Sun Temple in Konark.
   • Best Time to Visit: Late afternoons for an illuminated view during sunset.
6. Gopachal Parvat
   • Highlights: Magnificent Jain rock-cut sculptures carved into the hills.
   • Best Time to Visit: Winter mornings for pleasant weather.
7. Tomb of Tansen
   • Highlights: A serene site dedicated to the legendary musician Tansen.
   • Best Time to Visit: Evenings for a tranquil experience.
8. Man Singh Palace
   • Highlights: A 15th-century palace adorned with vibrant tiles and intricate designs.
   • Best Time to Visit: Early mornings for great lighting and fewer visitors.
9. Gwalior Zoo (Gandhi Prani Udhyan)
   • Highlights: A lush zoo home to various exotic animals and birds.
   • Best Time to Visit: Morning hours for an enjoyable family outing.
10. Phool Bagh
    • Highlights: A picturesque garden perfect for picnics and relaxation.
    • Best Time to Visit: Late afternoons for a stroll.

Plan Your Gwalior Adventure with Motoshare

Gwalior’s timeless charm and historical landmarks are best experienced at your own pace. With Motoshare, you can explore the city conveniently, making every moment of your trip unforgettable.

Book your ride today:

• Car Rentals in Gwalior: https://motoshare.in/gwalior/car-rentals
• Bike Rentals in Gwalior: https://motoshare.in/gwalior/bike-rentals

Let Motoshare make your Gwalior journey effortless, comfortable, and memorable. With the freedom to travel on your terms, the city’s wonders await!

The post Discover Gwalior’s Culture with Motoshare Rentals appeared first on Artificial Intelligence.

While companies continue to realize the importance of data science and its ability to positively impact revenue, scaling it across an organization continues to be a challenge. A new survey released today reveals a new leading factor to success — creating a positive, model-driven business culture among employees. This insight is one of the findings from a survey of data and analytics professionals sponsored by Domino Data Lab, provider of the leading open enterprise data science management platform trusted by over 20% of the Fortune 100.

Conducted by DataIQ, the leading membership-based forum for connecting, educating and supporting the data and analytics community, the survey curated a research panel of influential data and analytics professionals across a wide range of industry sectors and company sizes in the UK. Seniority ranged from senior managers and heads of department to global directors and chief officers.

The survey found that one in four businesses¹ expect data science to impact topline revenue by more than 11 percent. However, the survey indicates a challenge with company culture, suggesting a positive, model-driven culture is difficult to build and still needs to be developed. 39 percent want a clearer definition of needs from stakeholders, 38 percent recognize the need to train business users in data science concepts, and 32 percent identify the need for a more positive relationship with stakeholders.

“Many companies begin their data science journey by hiring a few data scientists, but overlook the importance of building a model-driven culture that aligns with business users and their needs,” said Nick Elprin, CEO of Domino Data Lab. “This survey highlights the impact that the lack of positive culture can have on identifying proper use cases, setting appropriate expectations, and ultimately delivering a measurable impact to the business. Understanding these challenges is important for companies at all stages of maturity so they can course correct and successfully scale data science operations across their organizations.”

Additionally, 40 percent of respondents indicate that weak understanding or support for data science in business is one of their biggest challenges. One out of three organizations (34%) indicate that conflict between data science and IT is one of their biggest challenges. Even companies that describe themselves at the “advanced” and “reaching maturity” levels in terms of their adoption of data science and analytics are not free of culture conflict. For both of these groups, half (52 percent and 50 percent of both groups respectively) indicate that conflict between data science and IT is their biggest challenge.

Some other findings from the survey include:

• More than half of all organizations (57 percent) expect a revenue uplift of under five percent, showing that the failure to embrace data science contributes to low expectations.
• One out of five businesses (21 percent) are gaining a major competitive advantage through the use of data and analytics tools across their enterprise.
• Sixty-seven percent have grouped their data scientists together as a central function or department (e.g., a Center of Excellence), rather than federating them across the business.
• One out of three organizations (32 percent) need months to get models into production. This latency must be addressed, because market conditions can change quickly and models trained using outdated data will make suboptimal recommendations.
• One in 10 organizations (10 percent) have adopted a superior automated form of model monitoring that provides proactive alerts when models are starting to decay. Data scientists can then address potential model issues before they impact business results.

“For data science to deliver real value to the organization, a positive culture needs to be created in which business stakeholders and data science practitioners have a close bond and common goals,” said David Reed, Knowledge and Strategy Director at DataIQ. “As the survey results show, that’s easier said than done. Four in ten organizations identify a weak understanding or support for data science by the business as their biggest challenge, which creates a vicious circle that leads to one in eight failing to create compelling use cases.”

The post New Survey Finds Model-Driven Culture Is Critical for Data Science Success appeared first on Artificial Intelligence.

When envisioning pop culture, depending on what generation you might be born into, the perceptions range from HAL 9000’s glowing Red Eye from 2001 to Ava from Ex-Machina. However, the most modern concept of pop culture comes hand in hand with artificial intelligence. To make the experience wholesome, we look at artificial intelligence or specifically, machine language and cryptography as sister fields to see the implications of the phenomena in modern-day culture as well as in the times to come.

As products of a capitalist society, the millennials are inebriated with the concept of privacy, security and the idea of personal space. As such, one can understand that the hype for artificial intelligence is essentially due to its capability of creating machines that can mimic or surpass human proficiency. These machines can adapt to self-optimization in various scenarios to keep up-to-date with each new phenomena being introduced. Thus, a closed-loop feedback system is induced. Furthermore, in the digital world, the need for security is ever increasing which is where cryptography comes in.

Assiduous individuals work behind the screens to introduce cryptographic algorithms which provide blankets of security and are astonishingly adept in many logic-based situations. The blockchain systems when efficiently designed, also, incentivize users to contribute to the network whilst getting benefit from it; a phenomenon essential in a time when AI has become game masters in their own right. This can be further understood through an example.

If developers develop an AI solution in a centralized platform, they need to ensure an authentic interface for a reliable representation of an AI output. Furthermore, they also need to ensure that the integrity and security of the data is maintained. In a situation like this, if a blockchain system is used, its transparency and accessibility pump up the security that is required by the developer of the AI algorithm.

However, one must understand that artificial intelligence and its off-shoots are not a future trend, they are already here and they are influencing our day-to-day activities. Perceptions will always vary but one can hold artificial intelligence analogous to a Chocolate truffle surprise. No matter how many times you open it and see the decadent goodness, you can never be sure what flavour you will find on the inside. In short, for each new flavour, you will develop a different kind of fondness.

The post When Artificial Intelligence Meets Cryptography: a Pop Culture Trope appeared first on Artificial Intelligence.

Determining a job candidate’s potential for success is a difficult task. In the past, hiring managers looked to people’s intelligence quotient (IQ) to gauge whether they would bring value to their organizations. Now, however, emotional intelligence (EQ) is seen as an increasingly relevant predictor for success.

The post Emotional Intelligence is the Key to a Successful Company Culture appeared first on Artificial Intelligence.