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Photo: Dedi Elias Empathy works with leading companies in a range of industries, including insurance companies, hospice chains home hospitalization for terminally ill patients and funeral homes, to expand its operations through strategic partnerships.

It recently announced a partnership with the largest life insurance company in the United States, New York Life, to use empathy to expand the services it offers its policyholders from financial assistance to emotional and administrative support. It was such collaborations that began to bring Empathy the bulk of its commercial success - but this year the company's clientele has also been joined by giant companies that provide the service to their employees as part of their benefits package.

Such organizations have realized that Empathy's service saves employees a great deal of heartache, and the loss of work days devoted to bureaucracy. Once in a while it happens that the battle over the disruption of a certain field takes place mostly within the Israeli start-up Nation.

This was the case with Taboola and Outbrain, which almost merged at some point and are now traded separately on Wall Street - and so it is now with the example of Stampli and Tipalti, which together and separately disrupt the world of invoice and vendor payment management.

The main difference between them is the starting point: Tipalti set out earlier, as a fintech company that dealt with payments, while Stampli started out five years later, and began in the world of automation and tracking invoicing. In the past their activities complemented each other, but today they compete head to head. The platform built by Stampli is mainly aimed at the market of medium and small companies, and is designed to enable them to streamline the process of handling invoices and payments to suppliers.

It is not just about the operation itself, but about making the whole process structured so that the finance and account people can find out all the details required to make the payment through a sharing platform, without nagging different people in the organization.

Stampli's system, like that of its competitors, is very "sticky": Once it is embedded in an organization it is difficult to switch to another system. Stampli co-founders. Photo: Stampli In the past year, Stampli has made a leap forward. To maintain and even accelerate this growth, Stampli is now aggressively expanding when it comes to manpower. If at the end of it had 88 employees, today there are already and they are still growing. Around 80 of the company's employees work from its offices in Tel Aviv and the rest are scattered abroad, after the company's founders and managers, brothers Eyal and Ofer Feldman, recruited no less than 50 sales people in the past year.

Despite the domestic competition with Tipalti, Stampli's real model is American giant Bill. Covid made the Aidoc decoding system a medical hit As with many other technology companies, Aidoc's trajectory can be divided into two periods, before and after the coronavirus.

Before the pandemic that paralyzed hospitals, the solution of its founders for the rapid and automatic decipherment of radiology tests using artificial intelligence was considered science fiction. But the paralysis that hospitals experienced in , and the severe shortage of workers created during the pandemic and which remains even with its decline, made Aidoc a hit among hospital administrators.

Like many medical companies, Aidoc took advantage of the period and completed two major funding round designed to support marketing efforts and capitalize on the momentum. In the past year and a half, it has been selling its solutions to more than a thousand hospitals, and the company's platform has already reached the millionth scan line. The company has recently established its position in the American market, where radiologists are not employed by hospitals as in Israel, but by independent mega-groups that perform scans and submit bills to insurance companies.

Aidoc already works with the three largest groups of radiologists in the United States. Aidoc co-founders. Photo: Guy Shriber One of the major difficulties in introducing decoding systems through artificial intelligence is finding the right business model and seamless integration into existing hospital systems.

Not all companies have succeeded in this. One of the memorable examples is Zebra Medical, an Israeli pioneer in the field, which was sold at a disappointing valuation last year. The solution to this challenge runs on as broad a platform as possible, which other AI systems can also interface with - and this is what Aidoc allows today.

The business model is based on an annual SaaS subscription, which charges per module, and receives FDA approval depending on the type of test, such as diagnosing bleeding in the head or pulmonary embolism. Unlike the Israeli Viz. Playing with the employees Unlike most local companies, Centrical was not founded by a team of young entrepreneurs graduating from an IDF technology unit.

Behind the company is one sole entrepreneur, Gal Rimon, who founded the company in then called GamEffective when he concluded that the right way to motivate and connect people to the tasks and goals is by way of gamifying the process. The system developed by Centrical focuses on improving the performance of employees in sales systems and service centers, and accompanies the employee from their first day on the job.

It connects to the organization's systems, builds each employee's performance profile against their tasks, analyzes performance gaps and provides the employee with suggestions for improving their performance through focused training that corrects flaws and errors - all in a gamification environment, which provides the employee with incentives and motivation to succeed. At the same time, the system makes the information accessible to managers and proactively recommends how to help the employee and train them for success.

Gal Rimon. During this period, the company doubled its revenues, and it expects similar growth in as well. The company also focuses its sales efforts outside the United States, enjoying success in South America, and established operations in the UK and Australia. Yonatan Geifman, Prof. Accelerated artificial intelligence Deci's name comes from the Latin word decimus, meaning "a tenth".

This is the modest goal of the startup company set up by a group of scientists from the Technion: To make artificial intelligence ten times faster, and to do so at a tenth of the usual cost. It is one of the companies with the deepest technological development on the list, a world known as deeptech. Beyond the founders, the company employs a group of professors and PhDs in mathematics and computers. The idea for the company was hatched by Geifman during a period he spent at Google as part of his doctorate, where he encountered inflating costs to the immense dimensions of the computational power required to build artificial intelligence models.

To solve this problem and speed up the training process of the models in various fields, Deci has created a development platform Decigned for high-tech companies that want to build a product that uses artificial intelligence. For example, for a company in the field of autonomous vehicles, which has already accumulated or acquired enough data aka Datagen , Deci's tools will shorten the process of identifying road signs.

Deci Founders. Deci is not alone in the market: In the past year, every large investment fund has gambled on a startup in the field. The inflow of capital is proof of the existence of the need for solutions of the kind that Deci is developing, but also signals the tough competition in the industry. Given the similarity between the nature of Deci's activity and business model and that of Israeli startup Granulate, which was recently sold to Intel for more than half a billion dollars, Deci may also be sold at a relatively early stage to major players in the field.

A red card for cards The past year was not only the year of cyber but also the year of fintech. What started during the Covid pandemic has already become an unstoppable flow. Wherever there is a digital payment transition, startups have stepped in to fill the void. Mesh replaces corporate credit cards, over which there is no real-time control or information, with a system that allows CFOs to centralize and manage all company payments in one place.

The company provides a complete and simple-to-use solution that enables management of all the company's payment processes - from payment approval to automatically updating payments in the ERP system. In addition, Mesh provides real-time information and tools that help financiers understand each payment and optimize them, which saves the company a great deal of unnecessary expenses.

The company provides a complete solution suitable for individual payment types, SaaS payments, travel payment management and a variety of other types of payments. Mesh Payments team. Photo: Micha Loubaton In the past year Mesh has recorded a significant increase in its revenue, which is currently estimated at tens of millions of dollars, and it continues at an impressive growth rate. Since the beginning of the year, it has doubled the number of employees, which currently stands at Mesh's customers include some of the fastest growing companies in the world, including monday, Riskified, Hippo, Sezzle and Snyk.

Accelerating time It took nearly a decade for deep tech company Weka to complete the development of its complex data storage system, but by the end of it began to take off. In December , the company could not resist and posted a tweet announcing that it had closed sales targets for an entire quarter in just two weeks, including a huge eight-digit deal. The company more than doubled its revenues in , and this year the growth rate is only expected to increase.

Weka's system enables very fast access and retrieval of data, thus enabling the operation of many applications. At present it focuses most of its efforts in the fields of artificial intelligence, finance and genomics - all very large markets, but ones that also allow Weka to easily view the change that is taking place as a result of its use. The numbers do not require an in-depth examination: For example, one of the customers used Weka's software and reduced the retrieval time from the information system from two weeks to four hours.

Liran Zvibel Photo: Weka The company's main growth engine lies in the OEM agreements it has signed with the giant storage companies, most notably Hitachi and HP, which are among its prominent investors. Through these companies, the Israeli company's storage solutions reach large players in the market - but there are also customers who prefer to buy the technology directly. It is not difficult to identify similarities between Weka and Mellanox, which became one of the major exits that came out of Israel, not before it was traded on Wall Street.

Weka is also on the right track of growth with large and stable customers, the kind that investors at Nasdaq like to see in a prospectuses. If all goes well at the current rate, it is not inconceivable that the company's next stop will be an IPO within two to three years from today.

Dan Ariely and Adam Neumann. Kids are a bonanza Every year, millions of women around the world undergo fertility treatments, in a process that is not easy or simple. The ability to shorten fertilization rounds or obtain better information about their chances of success is one of the holy grails of the medical world. Daniel Seidman, a renowned in vitro fertilization specialist.

AiVF has developed an innovative system for improving in vitro fertilization through artificial intelligence. Every year, about 3 million fertility treatments are performed worldwide, and in the last decade there has been a sharp increase in the demand for such treatments. The annual global demand is million treatments, which is very far from the scope of treatments that fertilization units can offer.

Every year, 2. Photo: Eyal Toueg The AiVF solution allows for a significant increase in the number of patients receiving successful treatment, and for the accessibility of the treatments to a broad public. Using advanced machine learning algorithms, the system developed by the company significantly reduces the number of attempts required to achieve pregnancy, and significantly improves the success rates of the treatments. AiVF's system has been implemented in leading in vitro fertilization departments in Europe and the United States, and has shown significant improvement in treatment success rates.

Its investors include Prof. Running at full speed The past year has been a turning point for Run: AI. The company, which has developed an artificial intelligence AI operating system, has received recognition from two prominent research bodies in the high-tech industry, Gartner and Forrester, which have determined that it is one of the most significant companies in artificial intelligence infrastructure.

Artificial intelligence is one of the buzzwords of the industry, but until the advent of Run: AI there were not many programs that knew how to manage its use. The company's technology combines all of the organization's computing resources, and dynamically and automatically allocates resources to all running tasks simultaneously.

Run:AI co-founders. In , it reported a nine-fold jump in its sales, with additional growth expected in and as well. The company does not publish the names of its customers but disclosed that the list includes a number of Fortune companies with leading customers from the worlds of automotive, infrastructure, finance and more. Taking Excel to the next level DataRails' path has not been easy, and at some point doubts have been raised about its future - but recently it has found the right niche and turned on the burners.

Two years ago it rebuilt its product, shifted business focus from large to small and medium-sized businesses, and sales began to grow rapidly. With the change also came the money, with the company completing most of its capital raising in the past two years at a dizzying pace. Between these fundraising rounds, both the value and the number of customers doubled. Photo: Courtesy DataRails has developed a platform that adds a layer of analysis and "wisdom" to datasheets like the old Excel software , with which the organizations' finance departments work.

The software runs on these sheets and also allows small teams, which do not have huge budgets of large organizations, to derive deep insights from the information accumulated in the organization's systems and use it for financial management and planning. The company's management backbone has also recently been strengthened, and in this context it has recruited senior VPs from Amazon and the Israeli unicorn Scisense. Healthy growth TytoCare is the oldest company on the list, and its system, a collection of telemedicine devices that enable remote testing and diagnosis, is already well known in Israel after it went into general use.

The company's business model is built on subscriptions of insurance companies and health care operators, according to the number of doctors and policyholders who use the solutions. TytoCare receives part of the payment for each family that joins its service through the health insurer, and in turn incentivizes policyholders through discounted rates. In the past two years, TytoCare has signed long-term agreements with major health insurers in the United States and Japan, and today it serves more than , patients compared to , before the outbreak of the pandemic.

Its sales pace has tripled since , and to meet growing demand it is now expanding to production in the Philippines, in addition to its plant in Migdal Haemek. TytoCare co-founders. Insight Partners and Tiger Global participated in the round, after the company had previously raised capital mainly from investment funds specializing in medicine.

In the last year and a half, quite a few SPAC entrepreneurs have been courting TytoCare as well, but at TytoCare they prefer at this point to wait and enter Wall Street through the front door. Queen of the Masquerade The field of identity verification in the cyber world is full of competition on the one hand, and saturated with threats on the other. Silverfort's patented technology enforces protection on the customer's existing infrastructure, as a uniform layer of security over all existing identification systems, without requiring changes to existing systems or installing software on them.

Silverfort team. Photo: Micha Lovton In the past year, Silverfort has successfully faced competition and gained hundreds of customers - some of them, the company disclosed, are from the Fortune list. Following the commercial success, the company's employees are expected to grow to by the end of the year.

The digital transformation provided huge boost to SQream Very few companies in Israel can take pride of a huge investment from Alibaba's cloud company. SQream offers advanced analysis capabilities for the databases of Alibaba's cloud company, which Alibaba can in turn offer to its cloud customers.

Alibaba sees SQream as not just an investment, but primarily a business partner. SQream develops an analytical database, which allows companies to analyze 20 times more information than previous solutions, times faster, and at a cost of a tenth compared to parallel databases.

The company is already 12 years old, but the move to the cloud and the digital transformation that the world is undergoing have provided its activities with a huge boost. Ami Gal. Through the acquisition, SQream plans to leverage its products and enable its customers to generate insights and make data-based decisions easily, and in a variety of business and operational processes. Cloud data analysis is currently one of the hottest fields. Miky Tamir, make sure to stay under the radar. The only figure from the company that has been exposed is Gilad Talmon, the CEO and their childhood friend.

The character building is done in studios owned by TetaVi, which is one of the competitive advantages of the company, as its competitors mostly work with huge studios and their technology requires a more complex process of creating the character, which significantly increases the costs. Some see the vision of TetaVi and its counterparts as the future of entertainment, based on immersive experiences. You do not have to be physically at a game or a show to experience them. One of the first and most powerful illustrations of this vision was received at Travis Scott's performance in the Fortnite game world.

No physical performance can sell such an amount of tickets. Gilad Talmon. Photo: Tracy Kumono TetaVi does not work with Scott or Fortnite, but the company is making its way in the field through a collaboration with SoFaygo, a young artist recently signed by Scott, and five other singers and DJs with millions of followers on Spotify.

Now, TetaVi is also working on an app that should allow each user to create a three-dimensional avatar and put themselves in the metaverse. The app, which will operate in a freemium model, will allow users to sell the content they create, with TetaVi receiving a portion of the revenue.

Its current business model is also based on revenue sharing in the format used by Hollywood production companies. TetaVi is probably the least known company on this list in terms of the flashy names on its board of directors and advisory board: Last April it was joined by Blair Rich, who serves as President and Chief Business Officer, Commercial and Consumer Operations, at Virgin Galactic.

Theatrical and Home Entertainment divisions. Additionally, two former VPs from Warner Bros. This is the largest herbicide army in the world: without regular pollination, much of the food we eat will disappear and a global food crisis will ensue. Demands for higher operational efficiencies 3. Leverage composite AI Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Data hubs bridge your highest-priority business outcomes to the governance and sharing policies your organization needs. Your data fabric should be more than a technical marvel — make it a must-have business capability via a solid data hub strategy. The technologies are consistently evolving and most standard contract terms are based on pre-AI concepts. Share ideas for getting started and lessons learned.

What are the best first steps and missteps to avoid? What does a successful "data for good" initiative look like? In this workshop, we will explore how to identify the right use case for your situation and apply that to overall changing business dynamics across the value chain. Many of the risks introduced by AI are new and unfamiliar in industries without a history of widespread analytics use and established model management. In this introductory-level workshop, attendees will collaborate to understand design and technology choices to rerisk AI, and leave the session with practical guidance on how to help their organizations succeed with AI.

This workshop offers an interactive peer opportunity to: frame the essential data fabric concepts, outline an approach for your data fabric architecture, identify the markets for potential contributing products. How well do these and other creative approaches work?

They are used to predict the likely outcome resulting from the deployment of specific interaction strategies with clients. This presentation is focused on the optimization of these strategies by combining the predictions of machine learning models with mathematical optimization methods. The selected use case was the optimization of the collections channel used to recover outstanding balances in a loan portfolio of a major North American bank.

But the path to being data-driven can be challenging: many organizations are unable to secure data that moves across multiple cloud and on-premises environments. Jo will demonstrate how a data fabric architecture helps enterprises automate governance across a distributed landscape, automatically improve data security across the enterprise, and ensure regulatory compliance - turning a challenge into a competitive advantage.

Of Customer Service at Messer Group to learn about the benefits that have resulted for IT and business users by delivering rapid and trusted data access and data-driven decision making across their organization. From natural language query to live interactive charts and visualizations, learn how hundreds of business users at Vanguard are self-serving analytics and getting actionable insights that allow them to move faster and make better decisions.

Plus, see a live demonstration of how ThoughtSpot takes users from zero to search in minutes. Technology and culture are critical to creating a data-driven organization. Please join us for an innovative approach to immersive learning. You will interactively explore with your peers the decision-making tradeoffs and behavior shifts encountered when transforming and fostering a data-driven culture that fuels organizational success in large-scale organizations.

But rapidly evolving technologies such as AI, mixed with resounding calls for responsible innovation, digital ethics, sustainability, social responsibility and emerging regulations, can make for a confounding cacophony of imperatives and needs. Join us for an engaged conversation and cut through the noise. With an on-the-ground realities focus, we will discuss current and emerging priorities and practical strategies to address them. Learn how to shorten cycle times to meet your objectives faster.

However, it requires a data and analytics governance platform to operationalize it. This session explains what connected governance is and how data and analytics governance platform capabilities can enable it. Here we explore MDM concepts, how MDM supports business goals, and how to lay a solid foundation for success across people, process and technology. Use Gartner AI maturity model to accelerate and optimize your AI strategy and implementations to achieve the best value, reduce risk and get to scalability quicker in AI programs.

Learn how advancing the AI maturity is beneficial not just for the AI teams but also to the business. How to champion data literacy awareness and craft a clear case for change? How to conduct data literacy pilots test the value proposition? How to partner with other executive stakeholders to align the data literacy program and collectively create a data-driven culture?

The existing data privacy techniques, however, are counter-productive to the data science effort. Emerging techniques such as synthetic data, differential privacy and federated learning provide a best-of-both-worlds approach.

This session provides in-depth insights into these techniques. This session provides detailed insights into the various components of AWS, Azure and GCP to create reference architectures for deploying an integrated and cohesive data and analytics ecosystem that includes native, hybrid and multicloud use-case scenarios.

Engage with your peers, Gartner experts, and exhibitors while enjoying delicious food and beverages. Evaluate industry offerings that can move your business forward. This networking lunch gives you an unique opportunity to discuss with your peers what kind of CDAO you want to be. This will be thought-provoking and introduce a bit of fun to inspire some great table- conversations.

This problem isn't size, it's the shape of data. With graph and ML technology, you can break through the technical constraints to forecast behavior and prescribe action in new ways that lead to better decisions for your business. You'll hear real-world use cases from a data expert using graphs and ML to unlock hidden value in enterprise data.

Learn how other organizations are defining data products and enabling teams to find those data product owners via the Data Marketplace. We will discuss the overall approach, operating model, tooling and technical architecture to support the Data Marketplace concept, in addition to challenges and opportunities. From real-time feeds to weird data formats and we do mean weird — see how easy it can be to move data around — with built-in enterprise security and governance.

In this session, hear from Vishal Shah, Data Architect Manager at Pitney Bowes, as he shares his organization's considerations in achieving a massive data consolidation effort. You will come away with key opportunities to consider for your modernization journey. Far too many organizations adopt a functional or project-based thinking to obtain value from data.

But such approaches fall short of meeting evolving business expectations in response to market demands. This session will enable you to adopt a product-based thinking to monetize your data assets. InfoCepts will present how leading organizations have embraced design thinking, modern architectures, and cross-functional teams to design trustworthy and adaptive data products.

DataOps is a necessary practice for delivering continuous data analytics. Current data observability approaches promise data health by applying algorithms on black box pipelines as an afterthought. True global data observability is only achieved with instrumented data pipelines that provide a system level view of data health and harness data drift to ensure reliable analytics delivery.

Enterprises need to support an ever-growing number of data scientists with a rapidly expanding ecosystem of tools, with escalating data and infrastructure requirements, while also accelerating time to value and driving greater productivity.

This session will help CX leaders know the right customer data management components for organizing and sharing data for better CX. What is customer and how can it be used to improve CX? What are the data management technologies used to manage customer data? Improving decision models and managing uncertainty leads to Composite AI for enhanced flexibility and resilience.

But organizations need to anticipate and weigh the possible outcomes and risks generated by possible futures. It may be possible to manage models through scripts and alerts. The MLOps playbook provides a cohesive approach to bring together the three key elements toward a successful implementation.

From the next generation of augmented user experiences and beyond, composing and operationalizing data and analytics at scale, engineering decision intelligence, and relating everything, to enabling data and analytics at the edge, there is a rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to resource optimize, accelerate change, drive innovation and transform society over the next three years.

Organizations can compose the building blocks to build tailored analytics experiences rather than monolithic applications. This session will help data and analytics leaders use composable data and analytics to bridge with application development, bringing insights into actions. The question is not if, but when. Then again, you may already have a CDO and not even know it! Come find out what that means. This session addresses how to leverage modern data catalogs as a first step in enabling new data management for maximum business outcome.

Duncan, Distinguished VP Analyst, Gartner Data literacy is a new business competency and a requirement for digital dexterity. This roundtable provides the opportunity to explore strategies and tactics with your peers, share ideas of how you can step up and use data literacy metrics as the basis for communicating the value of fostering a data-literate workforce. In this session, we'll focus on the key considerations for operationalization, best practices from around the world and lessons learned from some case studies.

To become more data-driven, data and analytics leaders must engage with the business to build on the metadata opportunity. We invite three providers to come to the stage and show live how they can set up data for discovery, data preparation and maybe even a little active metadata and machine-learning to make data management less onerous and more augmented. Featuring data.

Frances Karamouzis, Distinguished VP Analyst, Gartner Finding external support for data and analytics initiatives is a critical yet complex process. This trend is an extension of the now dominant self-service model of BI, combining data visualization with narrative techniques. What is a data story? When and how should data storytelling be used? What new skills and techniques are needed to create compelling data stories?

This workshop includes best practices in visualizing data and mistakes to avoid. As part of the workshop, we will analyze examples you bring as a group and recommend ways to more effectively communicate data. For most organizations that scenario sounds like a data architecture and integration nightmare, but WPP relishes the moment.

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In Fawn Creek, there are January has the coldest nighttime temperatures for Fawn Creek with an average of This is one of the warmest places in Kansas. In Fawn Creek, there are 1. The humidity can be uncomfortably heavy or close in Fawn Creek during the summer months. July is the most humid month, though humidity is low for most of the year. July, August and June are the three most humid months in Fawn Creek.

May is the wettest month in Fawn Creek with 6. The annual rainfall of May is the rainiest month in Fawn Creek with There are Transport: Thrissur has road and rail, but the nearest airport is 50kilimeters away in cochin. For public transportation, private and state buses, taxis and autorickshaws are available. Thiruvananthapuram: Best Place to Live and Retire in Kerala The cultural hub of Kerala, Trivandrum or Thiruvananthapuram, packs religious significance with a large number of sacred sites and museums.

Cleanliness is close to Godliness in this city with almost no traffic and pollution. Reasons why Thiruvananthapuram is among the best places to retire in Kerala: Cost of Living: Affordable home rentals are available. A 2BHK can cost between 10k to 30k depending on the area.

Street food and multicuisine restaurants are hard to find; hence people eat at hotels or cook at home. Traffic: The city has almost no traffic. Therefore, transitions are smoother and more efficient than in any other place in Kerala Safety: Itis quite safe in public places but locals, especially tourists, are careful while travelling in isolated parts at night. Locals are quite conservative in their attitude.

Hence one has to dress Indian-like while visiting temples. Taxi drivers often try to rip off tourists; hence caution needs to be maintained. Carrying an insect repellent is necessary for the entire Kerala including Thiruvananthapuram due to its erratic rains. Healthcare: The best in Kerala, Trivandrum has many necessary healthcare facilities which have catered to the needs of many senior citizens. The city has a regular influx of Medical Tourism.

Locals within the city commonly travel in busses, taxis and autos. Attractions: Nature lovers and historic geeks will have a great time on the streets of this city. Some of the best places to visit are Padmanabhaswamy Temple, Neyyar Dam and Wildlife Sanctuary, Poovar Island, Kanakakunnu Palace, Agasthyakoodam peak and more Retirement Communities: Since a lot of pensioners migrate to this holy city, specific well-established communities have cropped up over the years.

Rich in European, Dutch and British influences, it has retained an exotic reputation through its architectural heritage. Tourists love Kochi, and most of them have settled here over the years. Retirees will enjoy the pristine beaches, reliable healthcare, affordable living, and fantastic food.

Hygienic food is available in local eateries as well as expensive restaurants. If you wish to live a simple life or a luxurious one, Kochi has something for everyone. Traffic: Traffic has significantly reduced since the Metro construction. Even so, on weekdays during office hours, one might face a reasonable amount of traffic Safety: Quite safe as any other city in Kerala. One should follow general guidelines for security, for example, try to avoid carrying valuables in deserted areas, or travelling alone at night.

Healthcare: This city has the best healthcare facilities in Kerala. Transport: Well-connected by air, road and rail. Retirement Communities: Graceland and Bless homes are the two well-established active retirement communities in Kochi. One can easily find more affordable options if required, as more such communities are coming up in the city. Thus, the bustling hustling district takes centre stage in Kerala tourism with its temples, mosques, churches, water sports and bird sanctuaries.

It is a well-established metropolitan city; hence proper healthcare and utilities are readily available. For the retiree who is still a traveller at heart, Ernakulam provides ample adventures. Reasons why Ernakulam is among the best places to retire in Kerala: Cost of Living: Affordable for all classes. A 2BHK costs from 10k to 25k depending on your budget.

Many local eateries serve good food as well as restaurants and hotels that serve good food. Safety: As safe as Kochi, tourists should practice proper safety guidelines such as, not travelling alone at night with valuables.

Healthcare: Being close to other major cities in Kerela, this city has appropriate medical facilities available. Transport: Ernakulam is a cosmopolitan district; hence it is well bridged via road, rail and air. Retirement Communities: Same as Kochi 6. Muvattupuzha: Best Town to Live and Retire in Kerala A small-town living in its old glory, Muvattupuzha was formed by the joining of three rivers, which it is is divided by a concrete bridge. It is rapidly growing as an urban centre in central Kerala, where a peaceful low-key life by the river awaits the average retiree, packed with greenery, paddy fields, and an easy route to any part of Kerala, with Kochi being just 36 kilometres away.

Additionally, over the years, Christians, Muslims, Syrians and Hindus have settled here, giving the town a cultural blend and communal harmony. Reasons why Muvattuzhapu is among the best places to retire in Kerala: Cost of Living: Cheap accommodation is readily available with 8k to 12k for 2BHK on rent.

A combination of cultures offers a variety of healthy food as it is a major agricultural town. Due to this, one can have a hearty lunch and dinner at family restaurants.