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Business Human Resources Professional Services Services U.S

Keri Laine Executive Solutions Interviews Brandon Siler on New InRoads Podcast

Orlando FL, April 10th, 2023: InRoads Podcast, hosted by KLES founder Keri Laine, features a series of intimate conversations with elite leaders who have shaped their industries, their teams, and the future of work. Guests share their personal roadmaps to success with the goal of inspiring others as they navigate their own journeys.

Launched online in March, InRoads Podcast has a powerhouse lineup of top-tier business leaders, global executives, company founders, highly ranked military veterans and athletes, and some of the most astute investors in the private equity space.

The most recent InRoads Podcast episode features a conversation with former NFL linebacker Brandon Siler. An accomplished player-turned-entrepreneur, Siler knows firsthand what it takes to lead a team to success. In this conversation, he shares his insights on how to develop the necessary skills to become an effective leader, including the importance of communication, accountability, and self-awareness. Siler shares his personal journey on mental health and how he has found the courage to speak out and seek help. He highlights the importance of having a support system and encourages others to prioritize their own mental health and well-being.



Brandon Siler’s upcoming projects include:

  • A Netflix movie airing fall of 2023 about the Florida Gator Championship runs from 2006-2008.
  • A new book and leadership course, “The Definition of a Leader” which uses his personal experiences to help individuals become more effective leaders and take charge of their careers.

Keri Laine Executive Solutions helps investors, venture capitalists, and private equity firms maximize profits by developing strong leaders, building efficient teams, and creating frameworks for success. By developing and implementing talent strategies for our clients, Keri Laine Executive Solutions’ fundamental mission is to assist in accelerating their journey to profitability. 

The founder, Keri Laine, is a former global chief-level executive, a certified executive coach, and a proven business strategist in the entrepreneurial and investor space. She has coached more than 200 top executives and entrepreneurs, helping them disrupt their sectors with innovative success across the globe. Keri has led organizations through employee growth of 100 to 4,000, both public and private, with revenue stages from $40m to $5.6b.

For more information, visit Keri Laine Executive Solutions at www.kerilaine.com

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Arts & Entertainment Business Professional Services

Streamingpals Helps Musicians Build Their Presence on Spotify

In today’s digital age, having a solid presence on Spotify is crucial for musicians to get their music out there. Streamingpals is a platform that specializes in promoting musicians on Spotify and helping them grow their streams, monthly listeners, followers, and saves. As one of the leading ways to achieve this, Streamingpals is quickly becoming the go-to destination for musicians looking to build their presence on Spotify.

With over 2,150+ returning customers every month and a 4.7-star rating on Trustpilot, Streamingpals has established itself as a reliable and effective platform. They understand the value of maintaining confidentiality and safeguarding their clients’ reputation.

Streamingpals offers a 100% money-back guarantee if they are unable to deliver the promised results, demonstrating their commitment to their clients’ success. They also offer competitive rates, making their services accessible to all musicians, regardless of their budget.

“Building a presence on Spotify is essential for musicians in today’s digital landscape.” said a company spokesperson. “We take pride in supporting musicians to achieve their goals on the platform at an affordable budget.”

Clients can expect to see their orders start 48 hours after placing them, and progress can be monitored through their personalized dashboard.

For more information about Streamingpals and how they can help musicians build their presence on Spotify, please visit their website at www.streamingpals.co or reach out to their dedicated support team at support@streamingpals.co

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Business Computers & Software Government & Politics Technology U.K

Governance and Uses of AI: Using ChatGPT-4 in MVP Development

On the 29th of March, the British government released a white paper to “guide the use of artificial intelligence in the UK, to drive responsible innovation and maintain public trust in this revolutionary technology”.

In this white paper, the government has outlined five principles that should be considered by regulators “to best facilitate the safe and innovative use of AI in the industries they monitor”.

The five principles are:

  • Safety, security, and robustness
  • Transparency and explainability
  • Fairness
  • Accountability and governance
  • Contestability and redress

There is also a plan for a £2 million sandbox which will help businesses test out AI rules before they go out into the market.

The use of AI has steadily increased over the last few years, with the technology becoming more mainstream since the public launch of ChatGPT.

What Is ChatGPT?

ChatGPT, the really smart chatbot created by OpenAI, has caught the public’s attention because of its natural language processing capabilities that allow it to converse with people like a human.

Some people think it will replace search engines—no more wading through a list of pages to find the answer. Others, on the contrary, worry it might “steal jobs”.

However, since it’s here to stay, experts are exploring ways of using it. And, according to The Recursive, ChatGPT-4 can be especially useful in the development of MVPs.

Using ChatGPT for MVP Development

MVPs, or minimum viable products, are a no-frills version of a digital product. An MVP is complete and has all the features that necessary for proof of concept. However, it doesn’t include any additional nice-to-have features.

One can get MVP and software app-building services from businesses that specialise in this type of development, like Luminos Software. This company in particular will be the first to emphasise that designing an MVP is not just about coming up with the idea and rushing to build it.

To design a successful MVP, which can then be developed into a successful product, one needs to have completed market research to see if there is a need for it at all. There also needs to be a detailed roadmap, where the important features are listed and prioritised.

And, according to The Recursive, the planning stage of MVP development can be made easier with ChatGPT.

Market Research

Whilst the chatbot cannot go and interview people (not yet, anyway) for market research, what it can do is scour through search engine result pages. It can look at the search queries people are using and the results they are generating.

This information can be used by startups to gain valuable insight into what their customers are looking for and what the market needs.

Financial Decisions

Startups can use ChatGPT as an autonomous business consultant to develop a narrative for potential investors. The tool has access to a vast amount of data that it can use to generate insights. 

These can help in creating accurate budgets, resource allocation, and investment decisions.

Idea Validation

The ChatGPT chatbot has been quite handy in helping people refine ideas because one can use it as a sounding board. It has access to the information available on the internet—as long as that information as published online before September 2021. 

It can carry out a discussion, offer suggestions, and come up with solutions. That can be beneficial to the process of verifying concepts and developing ideas.

The tool can also be utilised for prototyping, where it may run user testing, recommend improvements, and simulate new products.

Better and Cheaper Decision Making

Thanks to its access to vast amounts of data and its processing power, ChatGPT-4 has made decision-making simpler and cheaper. It can automate certain tasks and sift through data in a shorter amount of time than a human can.

That is not to say that it can replace developers. One would still need trained professionals to build their MVP. 

However, with AI, a lot of the planning can be done quickly and easily, without using up a big part of the initial funding on prep work.

Originally published in Geeky News

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Business Computers & Software Technology

Microsoft Teams Now Empowering Users to Edit Excel Spreadsheets in Real-time; User Productivity Expected to Improve

The software giant Microsoft is reportedly bringing Excel directly into Teams. With the new update, multiple users can collaborate in real-time on a single spreadsheet through Excel Live while in a Teams meeting.

The new Excel Live version will allow users to make edits or update data during a Teams call, and the changes will be reflected in the spreadsheet in real-time, according to techradar.

“Until now, sharing spreadsheets within a Microsoft Teams meeting has been a fairly one-sided experience. You share your screen, and everyone else watches while you navigate through the workbook and update the content. But what if your group could use that meeting time more efficiently to get the work done together? Building on what we’ve learned and the evolving needs of today’s workplace, we’ve created an enhanced collaboration solution for working on Microsoft Excel workbooks—Excel Live—empowering your group to collaborate in real-time within your Teams meetings,” explained a member from Microsoft’s Tech Community.

Excel Live in Teams

Excel Live is built on top of the Live Share feature of Microsoft, described by the company at its Build 2022 developer conference.

Previously, meeting attendees were required to open Excel documents and share their screens. However, this process creates conflict, thus negatively impacting users’ productivity.

The new update of Excel Live will allow owners to choose the workbook file they want to share with others and edit directly while on a Teams call. Upon sharing the file, they can grant editing permission to specific meeting attendees or allow all participants to edit the workbook from the Teams meeting interface.

Microsoft expects the new update of Excel Live will make collaboration on Teams meetings seamless, delivering a frictionless co-working experience. 

In addition, by enabling users to co-edit Excel spreadsheets right from within the meeting window, this new Teams feature will eliminate the need to switch between multiple windows, thus saving time in consolidating content after the call.

The new update has a scheduled rollout date of April 2023 and will be available on PC, iOS, and Android devices. 

Microsoft Striving to Fortify Customer Experience

Microsoft has been working on updating Excel and Teams as part of its effort to fortify customer experience. 

For example, it has recently added a new “@mentions” expansion which is expected to enable users to tag their co-workers, both within their company and outside. 

On top of that, by releasing the spreadsheet software update last year, Microsoft has rectified an obvious drawback dating back several years: Excel users can now drop hyperlinks into comments added to spreadsheets.

To make presentations more accessible, Microsoft has recently introduced the Closed Captions feature with PowerPoint Live for Teams meetings. 

Moreover, Microsoft is poised to give Excel a deep AI boost by bringing out an assistive AI system, FLAME AI. An AI developed for Excel-specific tasks, FLAME is expected to make automation in the Excel app more efficient.

Excel charts have now become the go-to choice for many when it comes to making a large volume of datasets easily comprehensible. By recapitulating massive troves of data in visual form, Excel charts help professionals assess key trends, evaluate key values at a glance, and more. 

However, despite releasing a number of updates, the built-in Excel charts and graphs are still overwhelming to work with. 

For example, formatting functionalities are limited with some types of Excel charts, which make the process of creating professional-looking PowerPoint presentations arduous and time-consuming. 

For professionals who are often required to make PowerPoint presentations with great-looking charts, investing in high-quality add-ins such as think-cell is a sensible decision.

With less formatting and fewer clicks, PowerPoint add-ins enable users to create charts directly in PowerPoint, thus significantly saving working hours. 

Wrapping Up

Microsoft expects the new Excel Live feature in Teams will allow users to collaboratively edit Excel spreadsheets while making file sharing in meetings more seamless than ever before.

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Business Law & Legal Services Technology U.S

Legalese Decoder, AI legal language translation platform, announces its application to Seed Checks for funding

Legalese Decoder, the AI-powered legal language translation platform, announces its application to Seed Checks for funding. The startup aims to revolutionize the legal industry by providing a solution to a common problem experienced by many: the difficulty of understanding legal language.

Founders and entrepreneurs are often left in the dark when it comes to deciphering legalese, which can be a major barrier to creating and running successful businesses. Legalese Decoder seeks to solve this problem by providing an easy-to-use platform that translates complex legal language into plain English.

Seed Checks, launched by venture capitalist and growth marketing entrepreneur Julian Shapiro, is a platform that allows founders to apply for funding from top investors in a quick and efficient manner. Legalese Decoder is excited to apply for funding through Seed Checks and join the thousands of other startups that have already applied.

Legalese Decoder’s AI-powered technology is unique in the legal industry, and the company is confident that it will have a significant impact on the industry as a whole. With the support of Seed Checks, Legalese Decoder aims to continue developing its technology and expanding its reach.

“Our goal is to make legal language accessible to everyone, regardless of their background or experience,” said Legalese Decoder founder, William Tsui. “We believe that our platform has the potential to change the legal industry for the better, and we are excited to partner with Seed Checks to make that vision a reality.”

Legalese Decoder has already received significant interest from investors and entrepreneurs alike, and the company is eager to continue growing its reach and impact. With Seed Checks, Legalese Decoder hopes to find the right investors who share its vision and can help take the company to the next level.

For more information about Legalese Decoder, visit our website at www.legalesedecoder.com. To learn more about Seed Checks, visit their website at www.seedchecks.com.

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Wonderland Offers Revolutionary Marketing Formula to Help Content Creators and influencers Achieve Rapid Profits

London, England – Wonderland, a leading marketing agency founded by a 10-figure marketer, is making waves in the influencer community with their innovative approach to marketing and promotion. The agency’s unique Rabbit Hole™ Marketing Formula has helped countless content creators skyrocket their social media followers and unlock rapid profits in as little as 24 hours.

With over a decade of experience at the highest level, Wonderland brings a wealth of expertise to the table. The agency is dedicated to helping everyday content creators share their gifts with the world, providing custom marketing campaigns, account management, and messaging systems to help models achieve their financial goals.

“Our team is passionate about helping content creators achieve rapid profits with their brand,” said the spokesperson for Wonderland. “We understand the challenges that come with managing your own brand and promoting your content effectively. Our Rabbit Hole™ Marketing Formula takes the guesswork out of the equation, allowing models to focus on creating content while we handle the marketing and promotion.”

The agency’s approach to marketing and promotion is simple but effective. Using a customized approach tailored to each client’s needs, the team creates custom marketing campaigns to drive thousands of followers to their social media pages. This, in turn, leads to increased subscribers and rapid profits.

Wonderland’s messaging system is also a game-changer. The agency’s experienced messaging team chats with subscribers daily and sells them on PPV content using the model’s voice and brand.

“We are committed to helping our clients achieve their financial goals and take their influential brand to the next level,” added the spokesperson. “With our team of experts handling the marketing and promotion, models can focus on what they do best – creating amazing content for their subscribers.”

To apply for Wonderland’s management, content creators and influencers with at least 5,000 Instagram followers can visit their website at https://www.thewaytowonderland.com

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Business Computers & Software Science Society & Culture World

Introducing AIUpbeat.com: Latest News in Artificial Intelligence Developments

April 12th 2023 – San Francisco, CA

AIUpbeat.com is a new blog that covers the latest news and trends in artificial intelligence (AI). The blog aims to provide informative, insightful and engaging content for anyone interested in AI, whether they are beginners, enthusiasts or experts.

AIUpbeat.com was launched by Jane Doe, a former journalist and AI researcher who has been following the developments of AI for over a decade. She decided to start her own blog after noticing a gap in the market for accessible and reliable AI news.

“I have always been fascinated by AI and how it can transform our lives,” said Jane Doe, founder and editor-in-chief of AIUpbeat.com. “But I also realized that there is a lot of misinformation and hype around AI that can confuse or mislead people. I wanted to create a blog that would offer accurate, balanced and easy-to-understand AI news for everyone.”

AIUpbeat.com covers a wide range of topics related to AI such as machine learning, natural language processing, computer vision, robotics, ethics, society, business and more. The blog features original articles written by Jane Doe as well as guest posts from other experts and influencers in the field.

Some of the recent articles on AIUpbeat.com include:

  • How GPT-3 Is Changing Content Creation
  • The Rise of Conversational AI: Chatbots vs Voice Assistants
  • How AI Can Help Fight Climate Change
  • The Ethical Challenges of Facial Recognition Technology
  • How AI Is Revolutionizing Healthcare

AIUpbeat.com also offers various resources for learning more about AI such as podcasts, books, courses, events and newsletters.

Jane Doe hopes that her blog will inspire more people to learn about AI and its potential impact on our world.

“AI is not just a buzzword or a sci-fi fantasy,” she said. “It is already here and it is changing everything from how we communicate to how we work to how we entertain ourselves. I believe that everyone should be aware of what AI can do and what it cannot do and how it can benefit us or harm us depending on how we use it.”

She added: “My goal with AIUpbeat.com is to make AI news more accessible and enjoyable for everyone and to spark curiosity and conversation about this fascinating topic.”

To learn more about AIUpbeat.com and its content, visit https://aiupbeat.com/ or follow them on Twitter @aiupbeat.

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Business Human Resources Lifestyle Public Affairs Services

Top 10 Personal Backgrounds Launches New Website with Enhanced Features

The new website allows customers to access TPB’s services faster and easier than ever before. Customers can now order personal background checks with just a few clicks, view their reports online or download them as PDF files, and compare different plans and prices with ease.

“We are thrilled to launch our new website that offers more features and benefits for our customers,” said Mark Stevenson, CEO of Top 10 Personal Backgrounds. “Our goal is to provide our customers with the best service possible when it comes to finding out more about their potential dates online.”

TPB’s personal background checks include information such as criminal records, marital status, education history, employment history, social media profiles, and more.

TPB also offers customer support via phone, email, or chat, as well as tips and advice on how to use personal background checks safely and responsibly.

According to Stevenson, personal background checks are becoming more popular among online dating users who want to verify their matches’ identities and avoid scams, catfishing, or other risks.

“Online dating can be fun and exciting, but it can also be dangerous if you don’t know who you’re talking to,” Stevenson said.

“That’s why we created TPB, to help our customers find out more about their potential dates before meeting them in person.”

About Top 10 Personal Backgrounds

Top 10 Personal Backgrounds is a leading provider of personal background checks for online dating users. Founded in 2020, TPB’s mission is to help online daters find their perfect match by providing them with accurate and reliable information about their potential dates. TPB’s services are fast, easy, and affordable, and are trusted by thousands of customers across the country. For more information, visit www.top10.personalbackgrounds.com.

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Business Computers & Software Technology U.K

Vulnerability Management 101 for Businesses That Care About Cybersecurity

Businesses, both small and large, rely on technology. That means using computers (and other devices), apps, software, and, of course, a connection to the internet.

And, as technology becomes more sophisticated, it also falls prey to misconfiguration and vulnerabilities. 

These, in turn, can leave the business open to cyber attacks, leading to data breaches or loss control of assets.

That’s why vulnerability management is so essential.

What Is Vulnerability Management?

“Vulnerability management” refers to an integral part of cybersecurity management. It’s a task periodically carried out to identify, evaluate, remediate/mitigate, and report any potential weaknesses in a business’ network, system, infrastructure, or endpoints.

It forms a part of an overall strategy where cybersecurity is maintained by constantly evaluating risk and finding points that threat actors could use to gain access. Once these weak points are identified, the threat can be assessed and patch implementation carried out.

The reason why vulnerability management is essential is that it can help businesses reduce the avenues a threat actor has to get into the data and network of the company.

How Does Vulnerability Management Work?

As stated previously, vulnerability management is a process where a business scans its systems and network for exploitable weaknesses. It generates a list of potential “problem areas”.

These are then assessed and given a priority ranking. This ranking helps business team identify issues that need fixing first.

Since the process is periodic and ongoing, businesses can monitor all its digital assets to ensure your data stays safe.

What Is the Vulnerability Management Process?

The Vulnerability Management Policy

As with anything else in a business, vulnerability management starts with a plan. Here’s what security teams need to map out:

Prepare the vulnerability management policy: Once created, the policy should be shared with other stakeholders to get their input before proceeding further.

Create a priority system: certain systems might not require as much security as others. By creating a priority list, teams can focus on the important parts whilst giving others slightly less, but adequate, attention.

Factor in the industry- and region-specific regulations: Certain industries have to follow regulations and policies specific to the work they do. Certain regions might have more stringent regulations around cybersecurity and data protection.

Train cybersecurity and vulnerability management stakeholders: Whilst it is important that everyone in the organisation is trained on cyber secure behaviour, certain people would have to take on extra responsibilities. 

For example, security officers, cybersecurity or vulnerability engineers, asset and data owners, managed security service providers (MSSPs), and other business leaders. For a smoother operation, these people should know their roles and responsibilities in the vulnerability management process.

The Vulnerability Management Process

Once the policy is drafted and in place, teams can start implementing it. The vulnerability management lifecycle can be broken down into the following steps (bear in mind, all of these steps have to be repeated regularly if you want to stay on top of threats):

Finding out the vulnerabilities: Identifying vulnerabilities in a business’ networks, systems, and IT assets can be done through vulnerability scanning (an automated process that identifies and reports exploitable weaknesses) or penetration testing (a mock attack carried out by a person who uses any weak points they find to “attack” a system like a hacker would).

Evaluating and prioritising vulnerabilities: Once there’s a list of vulnerabilities, a business doesn’t just start fixing them in any order. They need to be assessed and prioritised in order of how likely they are to be exploited and how much damage the threat actor can do through them. 

It is entirely possible that there’s a vulnerability that doesn’t actually pose any threat to an organisation. That’s why they need assessing and prioritising, so serious weaknesses are dealt with first.

Remediating and mitigating: Once a team knows which vulnerabilities they need to deal with and in what order, they can start the process of fixing them. Some can be fixed with vulnerability patches. Others might not be fixable, and may require mitigation instead.

Assessing if the fixes worked: If a team doesn’t test its solutions, it won’t know whether they worked or not. This process might require additional scanning or penetration testing. That way, businesses can definitively determine if the remediation and mitigation worked.

Documenting and reporting: The team will need to document any vulnerabilities discovered as well as the steps taken towards their resolution. Of course, if there are a different sets of reports coming in from processes like scans, pen testing, or other such activities, it might help to have them all in one place. 

Leading cybersecurity service provider, DigitalXRAID, recently launched a one-of-a-kind portal that “allows a company’s cybersecurity measures to be viewed from a single source and enables greater collaboration across the business.” 

This portal, called OrbitalX, enables businesses to create bespoke and automated reports to provide clients with “a holistic overview and better visibility of [their] cybersecurity posture and risk.”

Reassess the cybersecurity framework from time to time: Cyber threats continue to evolve. To keep up with them, the cybersecurity industry keeps developing new methods and tools for protecting data. 

A business has to keep up with both the potential threats and the available solutions in order to be truly protected. The best way of doing so is by periodically reassessing the cybersecurity framework.

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Business Computers & Software Services Technology U.K

The Role of Cloud Data Lakehouses in Machine Learning and Deep Learning

Before one can understand the role of cloud data lakehouses in machine learning and deep learning, one needs to know what machine learning and deep learning actually are.

Anyone vaguely interested in artificial intelligence (AI) might have come across these two terms before. Contrary to some confusion, these terms aren’t interchangeable (despite both having something to do with learning). For anyone interested, here’s an article that discusses the difference between machine learning and deep learning.

It’ll clarify why structured, unstructured, and semi-structured data are all so important in artificial intelligence.

What’s the Difference Between Machine Learning & Deep Learning?

To understand how ML and deep learning differ, people first need to understand what these two types of learning are.

What Is Machine Learning?

Machine learning is the process of teaching computers to make decisions and predictions based on a bunch of rules. These include simple if-then logic, using mathematical equations, and neural network architecture.

The algorithms used to teach computers through ML generally rely on structured data.

What Is Deep Learning?

Deep learning is a process of teaching computers in a manner similar to how humans learn. Instead of using structured data with structured rules, this process uses unstructured data. Obviously, this type of learning takes longer and requires specialised AI learning processors.

Deep learning is used for AI that has to mimic human-like decision-making processes; eg., Natural Language Processing (NLP), software for self-driving vehicles, and image recognition software.

So, to summarise, machine learning is a structured learning model that takes less time, whilst deep learning is a more organic learning system, which takes longer, is more complicated, and requires complex hardware.

Machine learning is useful for solving simpler, linear problems, like classification, regression, dimensionality reduction, and clustering.

Deep learning, on the other hand, is used for solving more complex problems, where human-like thinking and processing might be required. These include image and speech recognition, AI game bots, NLP, and autonomous systems.

Structured Data vs. Unstructured Data vs. Semi-Structured Data

So, now that we know what machine learning and deep learning are, let’s move on to structured and unstructured data. As we just saw, both have a role in the development of AI. Here is the difference between the two.

Structured Data

Structured data, as the name suggests, is, well… structured. It follows a standard format and can be worked on directly. If you’ve ever worked with an Excel spreadsheet, with the information neatly organised in cells and tables, you’ve encountered structured data.

Such data is easy to store, access, and process, because it’s all so well organised.

Unstructured Data

Unlike structured data, unstructured data cannot be organised as easily. It doesn’t follow a standard format and each item in the database could have different properties. Examples of unstructured data include images, video files, audio files, social media posts, or behavioural data.

Since this data is so varied, it cannot be organised into neat little compartments. As a result, it needs more storage space and it can be slightly difficult to retrieve.

Semi-Structured Data

This type of data, whilst largely unstructured, does have some organisational logic to it. In fact, some people argue that there is no true unstructured data. Even an image will have some meta-data included, which can be used to retrieve it.

However, unlike structured data, semi-structured data too requires more storage.

This brings us to cloud data lakehouses.

What Is a Cloud Data Lakehouse?

When you want to store clean, organised structured data, you use data warehouses. These are ideal for business intelligence data. 

On the other hand, if you want to store unstructured data and semi-structured data, you want data lakes. These types of data can’t be housed in neat, logical data warehouses.

But, having two types of storage for structured and unstructured data means you cannot derive benefits from both. That’s where a data lakehouse enters the picture.

A data lakehouse combines the logical, analytical storage of a warehouse with the flexibility of a data lake—ideal for an artificial intelligence model which uses both deep learning and machine learning.

Whilst a data warehouse is simple in structure, the data lakehouse architecture is largely dependent on your business’s needs. You might need an expert, like Agile Solutions, to help you design a bespoke solution.

However, having a cloud data lakehouse can be an important resource if you want to make the most of the data—both structured and unstructured—that your company owns.