In the ever-evolving landscape of online content creation, Alua has emerged as a trailblazing platform, seamlessly connecting creators and their fan base. Catering to a diverse range of individuals, from influencers to models and content creators, Alua introduces novel avenues to monetize content and foster audience engagement. This comprehensive review delves into the intricacies of Alua in 2023, encompassing its recent updates and a comprehensive overview of its features. A Glimpse at Alua’s Essence Alua functions as an online platform that empowers creators to establish meaningful connections with their fans, curate exclusive fan communities, and transform their content into a lucrative source of revenue. Lauded for its prowess as a potent messaging platform, Alua acts as a conduit, fostering seamless interactions among creators, models, talent scouts, internet luminaries, and their devoted admirers. So reading up the latest Alua reviews may also be smart to do before using the service. Mechanics of Alua: Diversified Pathways to Earnings Alua offers creators four distinctive channels for revenue generation: Paid Chat Feature: Creators can partake in confidential exchanges with their supporters, all while accruing financial rewards. Subscriptions: The provision to furnish exclusive content to subscribers for a recurring fee fortifies a consistent stream of income. Pay-Per-View Content: Creators wield the option to unveil private and exclusive content, accompanied by a fee that fans willingly embrace for unparalleled access. Model Referral Program: Alua acknowledges creators who introduce new models to the platform, rewarding them with well-deserved commissions. Cherished Aspects: Endearing Creators, Influencers, and Celebrities Alike The pliancy of Alua’s user-centric and adaptable earning mechanisms empowers creators with unparalleled authority over the monetization of their content. The platform extends the reins of control, facilitating the establishment of prices and the orchestration of schedules, thus furnishing creators with an authentic and gratifying experience. So if you want to gather your fans from your Instagram, Tiktok or any other platform Alua could be a good choice. Alua: The Epitome of Preference for Top Models and Influencers A multitude of incentives underpin the preference of eminent models and influencers for Alua: Elevated Revenue Prospects: Creators can tap into a constellation of revenue streams, guaranteeing enhanced financial stability. Sovereignty over Content: The capability to dictate their revenue generation methods and fan interactions bestows creators with unadulterated autonomy. Safety and Confidentiality: Stringent policies are a testament to Alua’s commitment to preserving personal information in an impervious vault. Global Reverberations: The platform’s expansive outreach allows creators to forge connections with enthusiasts hailing from every corner of the world. Support and Nurturing: The availability of round-the-clock live chat support, coupled with an elite model support team, solidifies Alua’s dedication to empowering creators. Testimonies from Renowned Creators Perceptive insights from esteemed creators further underscore Alua’s influence: Claudia (@claudia_romani) resonates with Alua’s sophistication and its acknowledgment of creators as invaluable assets. Pheobe (@phoebeisginger) commends Alua’s simplicity in fostering communication and the cultivation of friendships. Terezagas (@your.secret777) underscores the unique bonds forged within the platform’s confines. Lily Martins (@lily_brazilbombshell19) lauds Alua’s 24-hour Customer Support, a supportive ally in her enduring journey. Unlocking the Treasury: Earning on Alua Creators can harness Alua’s distinctive earning pathways, encompassing paid chats, subscriptions, pay-per-view content, and model referrals. Boasting an intuitive interface, creators wield unparalleled mastery over the realm of monetization. Hallmarks of Alua’s Excellence Mobile App: Extending its accessibility, Alua caters to both iOS and Android users. Discover Screen: Aids users in the exploration of creators, thereby nurturing fan base expansion. Prompt Remuneration: Alua streamlines financial management through diverse payout options, culminating in seamless transactions. Live Chat Par Excellence: Alua’s unfaltering commitment to exemplary 24/7 live chat customer support is unwavering. The Reliability Quotient: Alua’s Integrity Established in 2017, Alua’s track record bolsters its reputation as a trusted player in the realm of online chat services. It espouses user welfare, assiduously safeguarding personal data and prioritizing swift, responsive support. Alua’s Worth to Creators Undoubtedly, Alua proves its mettle for creators intent on monetizing content and nurturing private dialogues. The platform, with its augmented privacy protocols, heightened earning control, minimal payouts, and instantaneous financial transactions, provides a competitive edge. Final Verdict: Embrace the Alua Revolution Innovation incarnate, Alua’s platform extends creators a golden avenue to commune with their admirers and transform content into a cascading revenue source. Underpinned by bountiful earnings, content dominion, and unwavering assistance, Alua stands as a compulsion for influencers, models, and content creators traversing 2023. Whether you find yourself on the creator’s or admirer’s spectrum, Alua’s array of features and income conduits render it a captivating landscape. Enroll today, embarking on a voyage that promises boundless potential.

When Meta released Llama 2, a powerful artificial intelligence model similar to the one behind ChatGPT, last month, it made it possible for developers, startups, and researchers to play with the kind of AI that has enthralled the world for nearly a year. Today, Meta is following up with the release of Code Llama, a version of the model that has been tuned for programming tasks. The release could mean more developers getting a taste of AI-assisted coding. It could also inspire new ways of embedding AI into software. And it could help further establish Meta as the preeminent supplier of “open” AI tools. “It’s exciting that they’re releasing the weights to the community,” says Deepak Kumar, a postdoctoral researcher at Stanford who has studied AI coding, referring to the parameters of the neural network at the core of the model. Kumar says the release of Meta’s regular language model Llama 2 led to the formation of communities dedicated to discussing how it behaves and how it can be modified. “It gives us a little bit more flexibility to play with what exactly is going on under the hood, compared to these closed-source models from Google or OpenAI.” Kumar says developers are likely to build new kinds of applications using Code Llama. For example, it could be possible to create a programming assistant that performs various additional safety checks before recommending a chunk of code, says Kumar, whose own research has explored how AI assistance can sometimes lead to less secure code. Kumar adds that the release could inspire the creation of assistants specialized for particular kinds of coding.“You can build all sorts of tooling on top of the model,” he says. Talia Ringer, an assistant professor at the University of Illinois Urbana-Champaign who researches programming, says that Code Llama will be valuable for academic research. I already have students using Llama models for research, and I could see those students being extra excited about a code model given the nature of our work,” she says. But Ringer adds that, ideally, the data used for training would also be released. “That’s often the missing piece for making sense of research on LLMs,” she says. Programming is one area in which recent advances in AI have already had a considerable impact. In May 2021, GitHub, a subsidiary of Microsoft, launched Copilot, a plug-in for coding programs that auto-completes sections of code based on the first line or a comment typed by the user. Copilot uses a version of Open AI’s GPT, the large language model behind ChatGPT. That model is trained further using code that GitHub stores for developers, as well as, reportedly, by contractors who are paid to annotate their own code. GitHub faces a lawsuit for using some open source code in its training data, and Masad says Meta is likely to have limited the training data to avoid such complications. Copilot costs $10 per month for individuals and $19 per month, per user, for businesses.

In 2010, Mark Zuckerberg told the audience at a TechCrunch awards ceremony that young people—especially social media users—no longer cared about privacy. “People have really gotten comfortable not only sharing more information and different kinds, but more openly and with more people,” he said. “That social norm is just something that has evolved over time.” While this statement obviously hasn’t aged well, it reflects a common belief that privacy violations happen when individuals reveal their own information. In other words, when something posted to Reddit or TikTok goes viral, or a nude photo sent to an admirer leaks, it’s first and foremost the fault of the person who posted it. This model of individualized accountability is very persistent. It’s also completely wrong. And it’s irrelevant in the age of generative AI. Generative AI completely obliterates the idea of individual responsibility for privacy because you can’t control these algorithms’ access to your information, or what they do with it. Tools like ChatGPT, Dall-E, and Google Bard are trained on data scraped without consent, or even notice. At their worst, training sets suck up vast amounts of digital information and combine it into a data slurry that serves as the raw material for generative AI. As tech companies are scrambling to incorporate generative AI into every imaginable product, from search engines to games to military gadgets, it’s impossible to know where this output is going, or how it might be interpreted. Their privacy-violating predecessors, data brokers, also scraped the web and assembled massive dossiers on individuals, but their outputs aren’t available to the average person, for free, or integrated into search engines and word processors. The widespread availability of generative AI compounds potential privacy violations and opens up more people to harmful consequences. The massive corpora employed by generative AI inevitably contain information on people that was not provided, created, or even known to be available. Public records about marriages, mortgages, and voter registration are all fair game, as are news stories, employee bios, and Wikipedia pages. But the slurry also contains millions of photographs and videos; Dall-E, for example, was trained on images collected from social media, search engines, and image-hosting sites. So if you’re in the background of a Flickr shot from 2007, your image could be used to train an algorithm. Nobody seems to know what goes into the data slurry, and there is no way to oversee or control it. When ChatGPT writes an inaccurate bio of me, I don’t know where the false information originated, but I don’t know where the correct information came from, either. We’re used to thinking of privacy as individual control over information, but it’s impossible to regulate how your personal information is used if you don’t even know its origin. Anthropologists and legal scholars have known for years that privacy can’t be controlled by individuals, partly because we share information within networks. In other words, people talk about each other, both on and offline. There’s no easy way to put limits on that; you can ask your friends not to post pictures of your kids on Instagram or to mention you on TikTok, but you are only as private as your chattiest contact. Networked privacy violations often happen because information provided in an environment with particular norms and expectations moves elsewhere and is interpreted differently. TikToks made for queer, progressive audiences become fodder for anti-trans campaigns; political speeches made to sympathetic audiences seem outrageous when viewed by the opposition. New technologies increasingly compromise this networked privacy. Forensic genealogy, for example, allows police to identify suspects by examining genetic evidence gathered from distant relatives. You can choose not to use Ancestry.com, but you can’t stop a third cousin—who you probably don’t even know exists—from doing the same. Big Data, which uses massive datasets in similar ways, frequently implicates friends, relatives, and even distant acquaintances, which becomes extraordinarily worrisome when integrated into predictive policing or risk assessment algorithms. There is nothing people can do to prevent such invasions of privacy. Generative AI heightens these networked privacy concerns. It compromises our ability to do “privacy work,” the methods and strategies we all employ to retain an acceptable level of privacy. And the outputs of generative AI are completely detached from their original source in ways previously unimaginable. It’s one thing to leak private text messages, and another for the entirety of Reddit to be used as grist for robot poetry and bad college papers. Information provided in one context can be entirely recontextualized and remixed, changing its meaning and violating what the philosopher Helen Nissenbaum calls “contextual integrity.” How can any one person prevent this?

The days when enterprises could solely focus on profits are long gone. It is because technology has made information more accessible than ever before. Today, consumers, investors, and the general public can learn about a business’s policies, ethics, and global influence. As a result, businesses must show their commitment to socially responsible practices so that they can create a positive image for their companies. Social corporate responsibility is about Incorporating social activism into business plans. This means considering how your business operations may affect the environment and society at large. If you are wondering how tapping into corporate social responsible will benefit your business, keep reading. photo credit: RDNE Stock Project / Pexels 1. Creates Press Opportunities Many corporate social responsibility initiatives require teaming up with other entities such as NGOs, government bodies, or business partners. These alliances provide a built-in angle for press coverage. Journalists are attracted to stories that involve multiple stakeholders working together towards a common goal. Hence, such partnerships are ideal for extensive media coverage, interviews, and feature articles. Apart from that, showing tangible results achieved through corporate social responsibility efforts could also be newsworthy. Businesses that provide concrete data and evidence of the impact they have made, such as the number of trees planted, meals served to those in need, or reductions in carbon emissions, are more likely to attract press coverage. However, you must have a qualified individual to maximize the potential of media coverage. They can strategically time and position media releases to coincide with key events, industry trends, or societal conversations. It will increase the likelihood of expanding your story’s reach. Since this is a key position, we recommend you hire someone with human services bachelor degree. It is because professionals with this degree have a deep understanding of societal challenges, human behavior, and the intricate dynamics that underlie various social issues and can help your company make a difference in a way that actually matters. 2. Increases Customer Loyalty Regardless of the industry, the longevity and growth of a company heavily hinges on customer loyalty. It forges a meaningful connection between a business and its customers that may pay dividends in the long run. Numerous studies and statistics highlight the importance of customer loyalty in driving profitability. According to a recent survey, increasing client retention by only 5% may raise revenue by a whopping 25% to 95%. Organizations that adopt corporate social responsibility may see a significant uptick in customer loyalty. One strategy to bolster customer loyalty is by supporting social causes that resonate with the company’s mission. For instance, a fashion brand might sanction a specific portion of its profits to fund education programs in underserved communities. That way, they may strengthen their ties with customers passionate about education and social equality. Furthermore, providing customers with avenues to participate in corporate social responsibility activities may also boost loyalty. As a business, you may enable customers to round up their purchase totals and donate the extra money to a charitable organization during the checkout process. This simple act of giving can make customers feel that their purchases are part of something greater. 3. Higher Employee Retention Rate Does your team fall short of the usual spark? If you are having trouble inspiring your staff or keeping them around even after planning a retreat for employees, corporate social responsibility might do the trick for you. Although it may not be the first thing that comes to mind when you hear corporate social responsibility, it can have a direct impact on employee retention. Businesses with a strong focus on CSR often have a solid work culture. It creates a positive narrative that employees can proudly share with friends and family. This sense of pride enhances the overall employee experience, making them more likely to stay with the company for the long haul. On top of that, these companies also provide employees with opportunities for volunteerism. Participating in these initiatives paves the way for camaraderie among colleagues and makes them feel accomplished. This, in turn, boosts the social bonds within the workplace and contributes to a more fulfilling work environment. When workers have opportunities to participate in projects that have an impact beyond their regular work, they develop a deep attachment to the organization. 4. Saves Money At first glance, it may seem like adhering to the principles of corporate social responsibility might financially overburden you. After all, planting trees, sending workers to school, and purchasing environmentally friendly materials all cost substantial money. However, being socially responsible can cut costs in the long run. Businesses can earn more by incorporating modest price adjustments on their products or services. Modern-day customers are well-versed in the importance of companies actively engaging in corporate social responsibility. Therefore, when a brand takes tangible steps toward these objectives, consumers do not hesitate to allocate additional funds to support them. Plus, certain corporate social responsibility measures help companies drastically reduce overhead expenses. For instance, companies may decrease their energy costs by switching to renewable power sources and installing energy-efficient machinery. 5. Gives Competitive Advantage Gaining a competitive edge helps an organization perform better than its rivals. Having a clear competitive advantage helps a business stand out from the crowd and highlights its distinct value to customers. Factors like product quality, novel pricing methods, and attentive service to customers may all contribute to differentiation. That said, you may also leverage corporate social responsibility measures for that as well. Unlike in the past, corporate social responsibility has evolved from a solely humanitarian endeavor into a strategic instrument that may directly contribute to your business’s competitive advantage. Businesses with a focus on social impact are frequently driven to create ground-breaking solutions to pressing issues existing in our society. This innovative approach creates unique products, services, and processes that set a company apart from its competitors. Conclusion There is a growing expectation for businesses to be catalysts for social good. This shifting paradigm signifies that businesses can no longer perceive ethical practices as an optional endeavor or a mere public relations exercise. As a business owner, you must

Compared to January 2016, India had 14 times more people who added AI skills to their profiles as of June 2023, securing fourth spot on the list The rate of AI skills diffusion was the fastest in Singapore, which saw a 20X increase between January 2016 and June 2023 According to LinkedIn, AI skills were adopted across segments such as technology, retail, education and financial services At a time when artificial intelligence (AI) has taken the world by storm, India is witnessing rapid growth in the talent pool for the technology. The country is now among the top five fastest-growing AI talent hubs in the world, according to a report by professional social network LinkedIn. “Singapore, Finland, Ireland, India, and Canada are experiencing the fastest rate of AI skills diffusion,” said LinkedIn’s ‘Future of Work Report – AI at Work’, adding that the number of  AI-skilled members was 9X higher globally in June 2023 compared to January 2016. Compared to January 2016, India had 14 times more people who added AI skills to their profiles, enough for the country to secure a fourth spot on the list of fastest-growing talent hubs. The rate of AI skills diffusion was the fastest in Singapore, which saw a 20X increase between January 2016 and June 2023. Other countries ahead of India were Finland (16X) and Ireland (15X). Canada (13X) was in the fifth position on the list. The fastest-growing AI skills included Question Answering, Classification, Recommender Systems, Computer Vision and Natural Language Processing (NLP). According to LinkedIn, the AI skills were adopted across segments such as technology, retail, education and financial services. The analysis of 25 countries by the LinkedIn report also showed that the number of LinkedIn members who added AI skills to their profiles nearly doubled after the launch of ChatGPT last year. The figure rose to 13% in November 2022-June 2023 from 7.7% in May-November 2022. For context, ChatGPT was launched in November 2022. “To realise the full promise of AI productivity gains depends on the diffusion of skills across geographies, industries, and talent. AI adoption and optimisation of its use will of course take time, but at this early stage, it appears that the pace of diffusion is getting underway. The brightest global economic outcome is one where innovation can scale borders and boost productivity growth for all,” said Karin Kimbrough, chief economist at LinkedIn. India has seen a rapid rise in AI adoption since the launch of ChatGPT. Indian companies and startups have jumped on the AI bandwagon, building products on top of OpenAI’s APIs and also building new algorithms for use cases across edtech, fintech, SaaS and others. The latest funding activity in the segment includes Kombai’s $4.5 Mn round, along with ZuAI and SocialBoat securing early stage funding.

Ann, a stroke survivor, can communicate using a digital avatar that decodes her intended speech. Photograph: Noah Berger/UCSF There are trade-offs to both group’s approaches. Implanted electrodes, like the ones the Stanford team used, record the activity of individual neurons, which tends to provide more detailed information than a recording from the brain’s surface. But they’re also less stable, because implanted electrodes shift around in the brain. Even a movement of a millimeter or two causes changes in recorded activity. “It is hard to record from the same neurons for weeks at a time, let alone months to years at a time,” Slutzky says. And over time, scar tissue forms around the site of an implanted electrode, which can also affect the quality of a recording. On the other hand, a surface array captures less detailed brain activity but covers a bigger area. The signals it records are more stable than the spikes of individual neurons since they’re derived from thousands of neurons, Slutzky says. During the briefing, Willett said the current technology is limited due to the number of electrodes that can be safely placed in the brain at once. “Much like how a camera with more pixels yields a sharper image, using more electrodes will give us a clearer picture of what is happening in the brain,” he said. Leigh Hochberg, a neurologist at Massachusetts General Hospital and Brown University who worked with the Stanford group, says 10 years ago few people would have imagined that it would someday be possible to decode the attempted speech of a person simply by recording their brain activity. “I want to be able to tell my patients with ALS, or brainstem stroke, or other forms of neurologic disease or injury, that we can restore their ability to communicate easily, intuitively, and rapidly,” Hochberg says. Though still slower than typical speech, these new BCIs are faster than existing augmentative and alternative communication systems, writes Betts Peters, a speech-language pathologist at Oregon Health and Science University. These systems require users to type out or select messages using their fingers or eye gaze. “Being able to keep up with the flow of conversation could be an enormous benefit to many people with communication impairments, making it easier to fully participate in all aspects of life,” she told WIRED by email. There are still some technological hurdles to creating an implantable device with these capabilities. For one, Slutzky says the error rate for both groups is still quite high for everyday use. By comparison, current speech recognition systems developed by Microsoft and Google have an error rate of around 5 percent. Another challenge is the longevity and reliability of the device. A practical BCI will need to record signals constantly for years and not require daily recalibration, Slutzky says. BCIs will also need to be wireless, without the clunky cables required of current systems so they can be used without patients needing to be hooked up to a computer. Companies such as Neuralink, Synchron, and Paradromics are all working on wireless systems. “Already the results are incredible,” says Matt Angle, founder and CEO of Austin-based Paradromics, who wasn’t involved in the new papers. “I think we will start seeing rapid progress toward a medical device for patients.”

After Noise, another domestic wearable manufacturer has entered the smart ring segment. Boat has officially teased its first smart ring in India. Boat has teased its upcoming smart ring on its official website. Named as Boat Smart Ring, the wearable will sport a ceramic design. The smart ring will also be able to keep track of your daily activities.Boat Smart Ring featuresExpected to launch soon, the Boat Smart Ring will come with all essential features. The company has revealed that the Boat Smart Ring will come with advanced tracking capabilities. The smart ring will sport a premium ceramic and metal build. The wearable will offer smart touch controls. The company claims that the Boat Smart Ring will feature swipe navigation functionality and will offer intuitive touch controls. Boat has also revealed that users will be able to play and pause music, change tracks, click pictures and navigate applications using the Boat Smart Ring. The device will work with its companion Boat Ring app. The app will curate detailed insights of the user’s health. The yet-to-launch Boat Smart Ring will come equipped with heart rate monitor, SpO2 sensor and body temperature monitor. The device will also keep track of users sleep and it will also feature menstrual tracking functionality. The wearable will sport axis motion sensors and will feature a water-resistant design.Boat Smart Ring to compete with Noise Luna RingThe upcoming smart ring from Boat will face competition from the yet-to-launch Noise Luna Ring. According to the company, the Noise smart ring is crafted with the intention of promoting cognitive well-being while advocating for the positive integration of technology. The ring furnishes three primary metrics – Sleep, Readiness, and Activity – with the purpose of furnishing practical observations that contribute to enhancing the user’s overall state of health. The Luna Ring is outfitted with state-of-the-art sensors and sturdy construction, empowering users to efficiently enhance their lifestyle choices.

Cloud computing providers are very aware that their customers are struggling for capacity. Surging demand has “caught the industry off guard a bit,” says Chetan Kapoor, a director of product management at AWS. The time needed to acquire and install new GPUs in their data centers have put the cloud giants behind, and the specific arrangements in highest demand also add stress. Whereas most applications can operate from processors loosely distributed across the world, the training of generative AI programs has tended to perform best when GPUs are physically clustered tightly together, sometimes 10,000 chips at a time. That ties up availability like never before. Kapoor says AWS’ typical generative AI customer is accessing hundreds of GPUs. “If there’s an ask from a particular customer that needs 1,000 GPUs tomorrow, that’s going to take some time for us to slot them in,” Kapoor says. “But if they are flexible, we can work it out.” AWS has suggested clients adopt more expensive, customized services through its Bedrock offering, where chip needs are baked into the offering without clients having to worry. Or customers could try AWS’ unique AI chips, Trainium and Inferentia, which have registered an unspecified uptick in adoption, Kapoor says. Retrofitting programs to operate on those chips instead of Nvidia options has traditionally been a chore, though Kapoor says moving to Trainium now takes as little as changing two lines of software code in some cases. Challenges abound elsewhere too. Google Cloud hasn’t been able to keep up with demand for its homegrown GPU-equivalent, known as a TPU, according to an employee not authorized to speak to media. A spokesperson didn’t respond to a request for comment. Microsoft’s Azure cloud unit has dangled refunds to customers who aren’t using GPUs they reserved, the Information reported in April. Microsoft declined to comment. Cloud companies would prefer that customers reserve capacity months to years out so those providers can better plan their own GPU purchases and installations. But startups, which generally have minimal cash and intermittent needs as they sort out their products, have been reluctant to commit, preferring buy-as-you-go plans. That has led to a surge in business for alternative cloud providers, such as Lambda Labs and CoreWeave, which have pulled in nearly $500 million from investors this year between them. Astria, the image generator startup, is among their customers. AWS isn’t exactly happy about losing out to new market entrants, so it’s considering additional options. “We’re thinking through different solutions in the short- and the long-term to provide the experience our customers are looking for,” Kapoor says, declining to elaborate. Shortages at the cloud vendors are cascading down to their clients, which include some big names in tech. Social media platform Pinterest is expanding its use of AI to better serve users and advertisers, according to chief technology officer Jeremy King. The company is considering using Amazon’s new chips. “We need more GPUs, like everyone,” King says. “The chip shortage is a real thing.” 

Not in a perverse way but the Covid-19 pandemic turned to be quite advantageous for many companies. Zoom was one such company as remote working, video conferencing became the need of the hour. Zoom’s popularity increased and so did the revenue. However, in the post-pandemic world majority of companies are calling employees back to work. Joining the list is none other Zoom. According to a report by Business Insider, Zoom CEO Eric Yuan told employees in an all-hands meeting that the biggest problem the company is facing currently is the culture. “The number one problem we are facing is company culture,” Yuan told employees, as per the report. He said that the company cares about all its employees but at “the same time we build trust from our employees who care about our business as well.”An earlier report by Business Insider revealed that the company had asked employees who live within 50 miles of a Zoom office need to report at least twice a week. Those who want to leave can do soYuan also said that employees who want to leave the company because of the new changes are welcome to do so. “For any ‘Zoomies’ who feel like this is not a company I want to work for, absolutely OK,” he said. “We wish you all the best. Again, we want to make sure we support each other and focus on the company.”The Zoom CEO was asked whether it is a case of come to office or resign. He said, “This is not something simple and straightforward.” He urged the company employees to think from “others’ perspectives and think about it from a business perspective and what we can do differently. Otherwise, I can tell you, even if we have a great opportunity ahead of us, we cannot deliver unless we address the culture problem.”

Nature’s nourishment: This superfood is so versatile that it can be part of all your health diet, in different avatars Sweet potato health benefits: Beyond its deliciousness and versatility, sweet potatoes pack a nutritional punch like none else. Laden with fibre, vitamins and antioxidants, it boasts a low glycemic index, making it a boon for blood sugar control, helps keep heart healthy, and is very effective for weight management.