If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The battle for artificial intelligence hardware keeps moving through phases. Three years ago, chip startups such as Habana Labs, Graphcore, and Cerebras Systems grabbed the spotlight with special semiconductors designed expressly for deep learning. Those vendors then moved on to selling whole systems, with newcomers such as SambaNova Systems starting out with that premise. Now, the action is proceeding to a new phase, where vendors are partnering with cloud operators to challenge the entrenched place of Nvidia as the vendor of choice in cloud AI. Cerebras on Thursday announced a partnership with cloud operator Cirrascale to allow users to rent capacity on Cerebras's CS-2 AI machine running in Cirrascale cloud data centers.
MLOps is the machine learning operations counterpart to DevOps and DataOps. But, across the industry, definitions for MLOps can vary. Some see MLOps as focusing on ML experiment management. Others see the crux of MLOps as setting up CI/CD (continuous integration/continuous delivery) pipelines for models and data the same way DevOps does for code. Other vendors and customers believe MLOps should be focused on so-called feature engineering -- the specialized transformation process for the data used to train ML models.
Yet another company enters the Destiny family as the company announces the acquisition of the Danish communication and collaboration company ipvision. The acquisition enhances Destiny's position as a leading European, SME-focused, secure cloud communication provider. Daan De Wever, CEO Destiny: "We are excited to welcome ipvision to the Destiny family. Obviously, this will strengthen our position on the Danish market and in the Nordics in general. Therefore, ipvision is a perfect match with the Destiny Group, reinforcing our position as an innovative, client-centric and market leading UCaaS provider for SMEs in Europe."
The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Arm unveiled some new tools for chipmakers and car makers to developed "software-defined" automobiles of the future. Software-defined automobiles are those that can be reprogrammed for different functions using software, even after the cars ship to owners. Cambridge, England-based Arm is working with major automobile suppliers and tech firms including AWS, Continental, Cariad, and more. The car features range from driver-assisted safety measures to self-driving cars. But the one thing they share in common is that they're loaded with electronics.
Snowflake is a cloud data warehouse provided as a software-as-a-service (SaaS). It consists of unique architecture to handle multiple aspects of data and analytics. Snowflake sets itself apart from all other traditional data warehouse solutions with advanced capabilities like improved performance, simplicity, high concurrency and cost-effectiveness. Snowflake's shared data architecture physically separates the computation and storage which is not possible by the traditional offerings. It streamlines the process for businesses to store and analyze massive volumes of data using cloud-based tools.
Snowflake launched its Financial Services Data Cloud with more than 600 industry data partners as well as large customers including BlackRock, Capital One and Western Union. In February, Snowflake forged a partnership with BlackRock's Aladdin unit to launch the Aladdin Data Cloud. That partnership paved the way for a broader Financial Services Data Cloud launch. The general idea is that financial services firms can combine their data with third party data on Snowflake's platform to test and adjust models, market to clients and manage risk. At a high level, Snowflake's Financial Services Data Cloud combines the company's governance tools, industry-specific datasets and clients' first party data.
Data is the lifeblood of business – it drives innovation and enhances competitiveness. However, its importance was brought to the fore by the pandemic as lockdowns and social distancing drove digital transformation like never before. Forward-thinking businesses have started to grasp the importance of their data; they understand the consequences of not fully mobilizing it, but many are sat at the start of their journey. Even the best organizations are failing to extract the maximum benefits from their data while keeping it safe. This is where artificial intelligence (AI) comes into play – it can benefit enterprises with their data in three fundamental ways.
FreshBooks has a big vision. We launched in 2003 but we're just getting started and there's a lot left to do. We're a high performing team working towards a common goal: building an elite online accounting application to help small businesses better handle their finances. Known for extraordinary customer service and based in Toronto, Canada, FreshBooks serves paying customers in over 120 countries. FreshBooks is seeking a Data Engineer to join our team.
Salesforce on Thursday introduced a series of new features and tools to Service Cloud, with the intent of streamlining experiences between customer service agents and consumers. Service Cloud is one of the Salesforce tools that now leverages Slack -- in this case, for a "swarming" capability that brings together all of the right experts to quickly solve customer problems. The first batch of new capabilities, including Slack swarming, enable new workflows for faster, more efficient customer experiences. The Slack integration is part of Service Cloud's Customer Service Incident Management feature, which will be generally available in the Winter 2022. It's designed to help companies detect, diagnose, and respond to service disruptions.
The latest winner of the growing interest in enterprise AI is Databricks, a startup that has just secured $1.6 billion in series H funding at an insane valuation of $38 billion. This latest round of investment comes only months after Databricks raised another $1 billion. Databricks is one of several companies that offer services and products for unifying, processing, and analyzing data stored in different sources and architectures. The category also includes Snowflake, which made a massive IPO last year and has a market cap of $90 billion, and C3.ai, another enterprise AI company that went public last year. Why are investors enamored with companies like Databricks?