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We Just Raised Serious Money From Microsoft’s M12 To Jolt Enterprise AI. Here’s The Plan
We are excited to announce that we have just raised funding from Microsoft’s M12 to Jolt enterprise AI. Our mission is to increase the adoption of artificial intelligence within the enterprise through an AI platform. By leveraging our AI platform, companies can create valuable experiences, automate repetitive tasks, and easily deploy machine learning models.
In this article, we’ll discuss the plan we have in place to make this mission a reality.
What is Enterprise AI?
Enterprise Artificial Intelligence (AI) uses AI algorithms for business applications. It incorporates data-driven approaches, such as machine learning, natural language processing, deep learning, computer vision and automated decision making to streamline operations and optimise outcomes. As a result, enterprise AI creates a valuable resource that boosts workplace productivity as it can simultaneously process large amounts of data and make decisions with improved accuracy.
Enterprise AI has grown rapidly over the past few years and is becoming increasingly popular in many industries, like finance, healthcare, government organisations, and robotics. This technology helps businesses increase efficiency while providing better customer experiences by offering personalised services through automated decision-making systems. As a result of using enterprise AI solutions businesses can reduce operational costs by automating mundane tasks, improving customer experience with real-time responses or find areas for improvements with building powerful predictive models to uncover insights from customer data.
The benefits that come with implementing an enterprise AI system are numerous. With it, companies can acquire greater insight into their customers’ behaviour – their needs, preferences and spending habits – enabling them to create powerful targeted campaigns tailored to each customer’s needs and automate customer service processes from answer compiling to ticketing management. Additionally such technology increases employee productivity significantly by automating mundane tasks or performing difficult calculations or operations faster than humans ever could. Finally but equally important is the security aspect associated with enterprise AI which helps detect any malicious activities before they occur ensuring safety for customers as well as secure infrastructures for companies protecting important data from potential cyberattacks as speedily responds to suspicious behaviours are quickly identified without having real IT engineers manually searching through log files every time there’s an issue.
Why is Enterprise AI important?
AI is transforming how people use technology in business, with the potential to revolutionise how decisions get made and work gets done. Enterprise AI platforms now provide access to ubiquitous technologies that easily integrate into existing systems of record. As organisations become more comfortable with AI technologies, its potential lies in asking complex questions and gaining deep insights from large data sets quickly and accurately.
The benefits of Enterprise AI are far reaching. They include improved accuracy in decision making, increased efficiency through automation, cost savings, better customer experiences, and predictive analytics for marketing and customer support. AI can also help drive revenue growth by providing custom recommendations based on user behaviour and preferences.
AI enables organisations to better understand customers’ needs, operations and processes, allowing them to anticipate demand while optimising operational efficiencies. By utilising machine learning technology to identify patterns in customer data such as product usage, sentiment analysis or sentiment tracking can further help organisations tailor customer experiences. This helps gain a deeper understanding of market trends, which can be used when making decisions around product development or marketing campaigns.
Considering its scalability and ability to create automated processes quickly, it isn’t surprising that Enterprises are now relying on AI technology more than ever before to stay competitive in today’s markets. Using Enterprise AI can unlock powerful possibilities including cost savings from automation and improved decision-making accuracy through data-driven insights and predictive analytics – all of which enable companies to remain ahead of their competition and drive long-term business growth in increasingly dynamic markets.
Raising Money from Microsoft’s M12
We are excited to announce that we have recently received a large investment from Microsoft’s M12 venture fund that will allow us to scale our enterprise AI platform.
This investment will help us accelerate development, enabling us to reach our goals of providing a comprehensive and intuitive AI platform for enterprises.
Let’s take a closer look at what this means for our business.
Details of the investment
Microsoft’s venture arm, M12, is looking to invest in companies using artificial intelligence (AI). The unit has commissioned a $100 million global fund to support start-ups and fund innovative solutions using AI. M12 will focus on early- and growth-stage investments across the entire spectrum of enterprise AI. Microsoft said it plans to invest in “AI-first startups” that are developing solutions to improve efficiency and customer experience while expanding its technology reach and capabilities.
When examining potential investments, M12 focuses on five specific areas:
1. Automation — Invest in technologies to automate processes, such as robotic process automation (RPA) or visual computing for computer vision.
2. Applied intelligence — Deploy artificial intelligence algorithms into products, services, or business models for scalability and efficiency.
3. Cybersecurity — Put cybersecurity front and centre with innovative solutions that detect threats earlier; protect data in transit, at rest or in action; provide identity management; or create secure infrastructure foundations for businesses.
4. Edge computing — Put compute power near the customers with edge architectures like fog nodes that compete with IoT data streams faster and more efficiently than centralised cloud architectures ever could manage it.
5. Platforms – Deliver new platforms that create opportunities such as platform-as-a-service (PaaS) or intelligent agents based on natural language processing technology (NLP).
With its huge war chest, Microsoft M12 claims it will continue to search out promising companies within the enterprise AI sector over the next few years as well make larger investments into existing portfolio investments which proved themselves able to adopt and scale AI techniques into their operations since receiving funding from M12 initially.
Benefits of the investment
The M12 venture arm of Microsoft has already made substantial investments in the enterprise AI space. Those investments have brought more than just money — they have also connected startups to key decision-makers within Microsoft and other network companies.
Microsoft has offered funding rounds for AI startups and resources to those receiving capital from M12. This includes technical advice and training, specialised testing centres, access to office space, networking events, workshops and seminars with industry experts, marketing services, recruiting help and internal guidance in using relevant technology solutions. Furthermore, M12 is committed to supporting “transformative solutions”; enterprises can look forward to direct support from the best minds at Microsoft — like outreach through its popular LinkedIn network.
Additionally, this type of investment strengthens relationships between industry giants like Microsoft and their corporate customers while supporting smaller businesses’ growth in the enterprise AI space. As such, the benefits are multi-directional: businesses that receive venture capital enjoy the support mentioned above; corporate partners benefit from increased access to ground-breaking technology solutions; and investors can count on returns from sound investments in promising tech startups.
The Plan
We just completed a series of successful funding rounds, with Microsoft’s M12 at the forefront. With this influx of capital, we plan to use this money to create a new enterprise AI system that can revolutionise businesses’ operations.
In this article, we will outline the plan and its potential benefits.
Goals of the plan
When setting and achieving goals with enterprise AI, the focus should be on building an effective strategy that helps drive organisational success. A successful plan should include clear objectives and measurable outcomes. It should also provide an understanding of the value of Artificial Intelligence (AI) for your organisation and take a realistic approach to deploying AI initiatives.
To create a practical plan, you must start by understanding what business problems or use cases you want to solve or improve. You can then decide exactly what AI capabilities you need: data storage, analytics, machine learning (ML) algorithms, and other related technologies. Once you have determined the required elements, set objectives that will help guide your efforts and establish criteria for evaluating progress.
Some core aspects of a well-defined plan include identifying current resources available in terms of data processing tools, ML algorithms, team members’ abilities and expertise in AI; committing resources to achieve the intended objectives; determining approaches for leveraging existing solutions (such as cloud services); implementing quality assurance checks; and finalising a timeline for achieving success metrics. By laying out these components beforehand, organisations can better manage expectations from internal stakeholders and users relying on the accuracy of their solutions powered by AI technology.
Strategies for achieving goals
Creating an AI strategy within a business requires a comprehensive approach that considers the enterprise’s and its customers’ needs, as well as the skills and resources available for implementation. To accomplish this, companies should identify achievable goals within their technological and human resources. Additionally, they need to create an achievable timeline for implementation that results in early successes to continue engagement with stakeholders. Finally, businesses must also consider potential risks associated with AI implementation and devise a plan for addressing potential outcomes.
Strategies for achieving goals:
1. Identify key objectives: A successful AI strategy must be tailored to meet the specific needs of the business enterprise or organisation it’s designed to serve; objectives must be agreed upon and achievable within declared constraints, such as budget or timeline.
2. Assess resources: An accurate assessment of available technological and human capital is necessary to design an effective strategy; this will help inform decisions about project scope and viability long-term sustainability.
3. Create an agile timeline: Consider multiple approaches when building an AI strategy; create a timeline which enables early wins while remaining mindful of project cost or longer-term commitments e..g costs associated with data storage capacity).
4. Identify potential risks: Mitigate against potential risks by outlining contingency plans should something go awry e..g risk assessment on levels of trustworthiness in data sets); define measures that would be taken to prevent any mishaps during project execution or validation stages (e..g error/failure rates).
5. Lead with an ethical stance: Be transparent with users at every stage – whole effects on them should be considered; respect privacy policies; use data responsibly; deploy systems that are inclusive, responsible and reliable.
Benefits of Enterprise AI
Artificial Intelligence (AI) is quickly becoming a powerful tool for companies of all sizes, including enterprises. With AI, enterprises can automate business processes, improve customer service, and make data-driven decisions. AI can also enable companies to reduce costs and increase efficiency.
In this article, we look at the advantages of using Enterprise AI and how companies such as Microsoft are investing in this cutting-edge technology.
Improved customer experience
Enterprise AI can allow businesses to better understand their customers and how they interact with the organisation, allowing them to optimise products and services in ways that provide a more personalised experience.
By utilising AI-powered customer segmentation, businesses can optimise key customer journeys and acquire a greater understanding of customer preferences and pinpoint areas of improvement. Additionally, AI-driven content personalization allows companies to create tailored messages tailored to each individual’s needs.
Moreover, AI-powered customer service bots reduce the time needed to answer simple customer inquiries by quickly responding to their queries or directing them to relevant resources. By leveraging these capabilities, businesses can improve customer experience and increase satisfaction throughout their engagement cycle.
Automation of routine tasks
One of the most significant benefits of enterprise AI is the automation of mundane, repetitive tasks. By utilising smart technology, businesses can use AI algorithms to simplify their manual processes. For example, an automated system can be used for tasks such as customer data entry, invoice processing, or analysis of large datasets. This can free up resources traditionally allocated for manual labour and allow for more efficient operations. Automation also eliminates human error from routine activities that require well-defined rules and processes.
Automating manual tasks can help employees focus on high-value activities that automated systems cannot easily accomplish. This can create opportunities to increase creativity and the potential for higher income since employees no longer need to spend their time on tedious work. In addition, enterprises gain a considerable competitive advantage by using AI to automate key processes more efficiently than ever.
AI enhances decision making capabilities and allows businesses to act quickly in dynamic markets with greater accuracy than manual probabilities – leading to increased profits and improved customer satisfaction rates across the board.
Increased efficiency and accuracy
Using artificial intelligence (AI) and automation for everyday, mundane tasks can help organisations increase efficiency and accuracy in their processes. AI solutions enable companies to automate routine tasks and streamline manual processes. By doing so, employees can save time and avoid costly mistakes when completing manual processes. In addition, AI-driven insights can help organisations uncover hidden patterns from data that would otherwise have been missed, allowing businesses to make more informed decisions and improve their operations.
AI solutions can also automate tedious workflow segments, such as invoice processing or customer segmentation. By taking a more personalised approach to segmenting customers, enterprise AI technology can help target higher value customers who benefit an organisation most. Moreover, the ability to accurately evaluate large datasets in a fraction of the time provides organisations with greater insight into their processes and customers than ever before. This increases efficiency while enhancing accuracy in decision making processes.
Enterprise AI solutions can also be used to reduce costs associated with labour by providing fewer workers with the capability to complete multiple jobs simultaneously at a faster rate. Because acting on data faster is often one of the primary benefits companies seek from deploying an AI system, many companies utilise machine learning algorithms for decision making instead of manual rule-based systems that require an operator’s constant oversight and review. With enterprise AI solutions acting as a trusted partner in decision making by autonomously performing required tasks with no human input or review needed from operators, costs related to labour reduction drastically over time resulting in improved efficiency leading to potential cost savings for businesses implementing these solutions into their digital transformation strategy.
