Archive for the ‘Artificial Intelligence’ Category

The Role of Artificial Intelligence and ML in Intelligent – Analytics Insight

Analytics has been changing the way organizations operate for a long while. Since more organizations are dominating their utilization of analytics, they are diving further into their data to build proficiency, acquire a more prominent upper hand, and lift their bottom lines significantly more.

Analytics powers your business, however, what amount of value would you say you are truly harnessing from your data?

Artificial intelligence and machine learning can help. Artificial intelligence is a collection of technologies that extract patterns and valuable insights from huge datasets, then making forecasts dependent on that data. Truth be told, AI exists today that can assist you with getting more value out of the data you as of now have, bind together that data, and make forecasts about customer behaviors based on it.

The adoption of AI has been driven not just by increased computational power and new algorithms yet additionally the growth of data now accessible. For intelligence analysts, that multiplication of data implies surefire data over-burden. Human analysts essentially cant adapt to that much information. They need assistance.

Intelligence leaders realize that AI can assist to adapt to this data downpour yet they may likewise consider what sway AI will have on their work and staff. For example, Twitter utilizes machine learning and AI to assess tweets in real-time and score them utilizing different measurements to show tweets that can possibly drive the most engagement.

Google is researching virtually every part of machine learning and is making advancements in old-style algorithms and different applications like speech translation, prediction systems, natural language processing, and search ranking.

Artificial intelligence plays a significant part in assisting organizations with handling data without forfeiting accuracy or speed.

With digital transformation widely being embraced, the volume and size of data have expanded significantly. Also, dealing with such gigantic data isnt simple. Artificial intelligence- fueled data-driven innovation can help organizations manage such data to guarantee importance, worth, security, and transparency. They can depend on AI data integration platforms to ingest, change, and use information easily and with accuracy. Such platforms give an end-to-end encrypted environment that protects information from undesirable infringing and breaches, and make them hard to work with.

Artificial intelligence and ML frameworks exist that utilize analytics data to assist you with foreseeing results and effective blueprints. Artificial intelligence- empowered frameworks can analyze information from many sources and deliver forecasts about what works and what doesnt. It can likewise deeply jump into information about your customers and offer predictions about buyer inclinations, marketing and sales channels, and product development strategies.

Artificial intelligence/ML advances empower companies across various industries to harness value from customer information with no trouble. For instance, AI data integration solutions empower all business users to map information between various fields to make it simpler to incorporate the data into a unified database. Since these arrangements can be effortlessly utilized by non-technical users, IT people need not assume full responsibility. This leaves IT to zero in on other vital tasks.

These solutions use ML algorithms to provide predictions of data, which can additionally quicken the data transformation process. Since the decisions are taken utilizing algorithms, the chance of mistakes like missing qualities, deceptions, errors, and so on, reduce. Hence, companies can use AI/ML tools to change the manner in which they deliver customer value. They can plan and integrate data and keep up data integrity, improving decision-making and boosting growth.

The advantages of AI and ML, notwithstanding, can go a long way beyond time savings. All things considered, intelligence work is a never-ending process; there is consistently another difficulty that demands attention. So saving time with AI wont decrease the staff or trim intelligence budgets. Or maybe, the more noteworthy value of AI comes from what may be named an automation dividend: the better ways experts can utilize their time after these advances reduce their workload.

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The Role of Artificial Intelligence and ML in Intelligent - Analytics Insight

Hidden in plain sight: The infrastructures that support artificial intelligence – The Conversation CA

During a walking tour of Queenslands Daintree rainforest in Australia, a talented guide regularly pointed out creatures that were well camouflaged into their surroundings. At one point, he directed our attention to a tree trunk, where a large grasshopper was camouflaged. The guides observations and stories wove together the connections between biology, geology and colonialism, helping explain how big and small changes could transform life in this ecosystem.

Our society has been altered by the rapid proliferation of new technologies and devices that produce digital data. Nested within and feeding on this data ecosystem, artificial intelligence (AI) executes cognitive tasks with more potency and speed than human beings. The large-scale transformative power of AI remains camouflaged in plain sight.

Through the lens of the responsible innovation in health research program at the Universit de Montral, we critically examine what lies beyond our immediate experiences of AI.

Much like driving a car, we do not need to understand how AI works in order to use its applications. And similar to ways in which the fossil fuel industry shaped the role of cars in our society, AI is delivered through powerful commercial interests and large digital and physical infrastructures. To better understand their impacts, there is an urgent need to critically appraise how AI delivers its much-touted promises.

At the onset of the Industrial Revolution, people in Montral had no clue about the kinds of infrastructures that were going to be developed to extract, exploit, distribute and use fossil fuels. Montral was ideally located to transport goods, including oil, and refineries were later concentrated along the Saint Lawrence River. Beyond negative impacts on residents health, the decisions made at the turn of the 20th century to exploit fossil fuels have had long lasting self-reinforcing effects.

And now, in the 21st century, we are seeing the changes AI brings and we need to consider the wide-ranging ramifications.

The jewel in the crown of the intangibles economy, AI needs expansive e-infrastructures that have tangible impacts and costs. Estimates suggest that the carbon footprint of training a single AI is as much as 284 tonnes of carbon dioxide equivalent five times the lifetime emissions of an average car.

If we choose to exploit the oil of the 21st century, we will have to build large powerful computational centres and sizable server farms. AI requires networking and cloud infrastructures to capture, analyze, share and archive vast amounts of data.

When deep learning techniques are involved, training is a key step that consists of feeding the algorithm with large and mostly unstructured datasets. The training of a single AI-based application may be split over dozens of chips and may require months to complete.

Although it only takes a low energy tap on a smartphone to use an application, its development is energy intensive and non-renewable energy sources have a much larger environmental impact.

Thankfully, data scientists are starting to calculate the energy required to develop AI tools before they are made available for use. For instance, a process involved in automating the design of a neural network through trial and error called the Neural Architecture Search (NAS) is highly energy intensive. Without NAS, training the AI tool Transformer takes 84 hours, but with NAS it takes more than 270,000 hours, thereby requiring 3,000 times the amount of energy.

Reducing the carbon footprint of AI requires a concerted effort by industry and academia to promote research of more computationally efficient algorithms and the use of more sustainable hardware and model development strategies.

Because data generated through digital interactions are worth their weight in gold, commercial agreements are likely to keep the future of AI into the hands of those with corporate interests. Exploiting data to increase corporate profits are the core business of tech giants like Amazon and Google.

Read more: It's time for a new way to regulate social media platforms

This is one of the reasons why it is important for public policy-makers to create alternative entrepreneurial pathways where data scientists and programmers who aim to design much more meaningful AI can thrive.

Could AI empower those who tackle todays major societal challenges and seek solutions for the common good? For instance, what would an eco-friendly AI tool to help us meet the United Nations Sustainable Development Goals look like? What alternative business and data governance models should be promoted for benefits to be shared equitably?

Seeing the forest and the trees could turn a more responsible vision for the 21st century into a tangible reality.

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Hidden in plain sight: The infrastructures that support artificial intelligence - The Conversation CA

G7 urged to take ‘allied action’ against China on artificial intelligence, quantum and 5G – Science Business

Almost 70 prominent legislators from the G7 group of rich nations and the European Parliament havepenneda letter to the leaders of their countries urging them to unite around a plan of action against China that addresses its growing market power in artificial intelligence (AI), quantum computing and 5G technology.

In a letter published on Monday before a G7 summit in the UK in June, signatories from the US, Canada, Japan, Germany, France, the UK, Italy and the European Parliament criticised China for "manning bottleneck positions" in international bodies, and called on G7 leaders to "avoid becoming dependent" on China for technology.

The power inherent to platform technologies such as quantum computing and AI cannot be overstated, tweeted Norbert Rttgen, chairman of the foreign affairs committee in Germany's Bundestag, who organised the letter. China has taken the lead in some of these future industries. The free world must avoid becoming dependent on a country that rejects market principles and democratic values.

The letter points to five areas of concern where the leaders called for allied action, including international institutional reform, technological standards, human rights, tensions in the Indo-pacific regions and co-operation on COVID-19. The statement also highlights the treatment of the Muslim Uighur population, described as genocide by the outgoing US secretary of state, Mike Pompeo.

China is accused of holding back critical information on COVID-19 at an early stage and undermining the World Health Organisation. "To prepare and prevent future outbreaks, we believe that an independent investigation into the origins and spread of the virus is necessary," the letter says.

China is pushing back. In an address to the virtual World Economic Forum Monday, the countrys president,Xi Jinping, sent out a warning to Joe Biden that he risks a new cold war if he continues with the policies of his predecessor.

Xi instead touted a multilateral approach to solving the economic crisis caused by COVID-19 and said the pandemic should not be used as an excuse to reverse globalisation in favour of decoupling and seclusion.

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G7 urged to take 'allied action' against China on artificial intelligence, quantum and 5G - Science Business

Reveal And Brainspace Merge to Become Leading Artificial Intelligence Powered eDiscovery Platform – Business Wire

CHICAGO--(BUSINESS WIRE)--Reveal, a global provider of the leading AI-powered eDiscovery platform, and Brainspace, a global provider of visual analytics for eDiscovery and investigations, announced today that they have joined forces. The combination creates a technology powerhouse bringing together two leading artificial intelligence and analytics engines, propelling the next evolution of legal technology. K1 Investment Management (K1), a leading investment firm focused on high-growth enterprise software companies, has invested over $200 million in the combined organization.

Backed by K1, Reveals merger with Brainspace has set into motion the next phase of AI innovation in the practice of law. Fueled by some of the worlds most powerful AI technology and underpinned by the Reveal review platform, we are ushering in a new era of automation in legal technology, said Wendell Jisa, founder & CEO of Reveal.

In less than six months, Reveal has acquired NexLP and merged with Brainspace to combine the two leading eDiscovery AI solutions and create a single pane of glass platform for their customers eDiscovery needs. This superior user experience enables clients to manage data, control costs, and extract key insights all in one place. Customers will now have access to the entire suite, including Reveals industry-leading processing, early case assessment, AI and review functionality, as well as Brainspaces data analytics engine.

Reveal is helping our customers gain insight and foresight in a rapidly evolving space by leveraging augmented intelligence models, said Dave Deppe, president of UnitedLex.

Eric Crawley, vice president of Global Advanced Technologies and Managed Review at Epiq Systems, added, Epiq has a long history of leveraging NexLP and Brainspace analytics to provide clients with differentiated methods and solutions, including portable AI models. Were excited to partner with Reveal as we continue to innovate around advanced analytics for legal technology.

K1s investment will be used to fuel growth, including expanding the sales and marketing teams, building additional functionality within the products, and hiring within R&D, data science and customer success to augment the client experience.

The eDiscovery market is undergoing rapid change and K1 is excited to partner with the Reveal and Brainspace teams to create the category leader in the industry, said Tarun Jain, vice president at K1. We look forward to accelerating investment into both companies technologies to create a world-class software platform that allows customers to streamline all their eDiscovery requirements.

The strategic merger of Reveal and Brainspace is another significant chapter in each companys growth story, with the combined company becoming one of the largest legal-focused AI providers globally. Customers include leading legal service providers, law firms, corporations and government agencies around the globe.

For more information about the combined company and its AI platform for legal, enterprise and government organizations, visit http://www.revealdata.com and http://www.brainspace.com.

About Reveal

Reveal is the industrys only eDiscovery platform powered by artificial intelligence. As a cloud-based software provider, Reveal offers the full range of processing, early case assessment, review, infrastructure and artificial intelligence capabilities. Reveal clients include law firms, Fortune 500 corporations, legal service providers, government agencies and financial institutions in more than 40 countries across five continents. Featuring deployment options in the cloud or on-premise, an intuitive user design, multilingual user interfaces and the automatic detection of more than 160 languages, Reveal accelerates legal review, saving users time and money. For more information, visit http://www.revealdata.com.

About Brainspace

For more than a decade, Brainspace has been on the leading edge of analytics and machine learning, delivering innovative solutions for complex data challenges in investigations, eDiscovery, intelligence mining, compliance, and alternative data. The most comprehensive and trusted platform of its kind, Brainspace's patented analytics technology accelerates the process of identifying what matters. Harness the power of the industry's leading Augmented Intelligence platform to surface insights, slash risk, and solve problems at Brainspace.com.

About K1

K1 builds category-leading enterprise software companies. As a global investment firm, K1 assists high-growth businesses to achieve successful outcomes, and invests alongside strong management teams that continue to guide their organizations on a day-to-day basis. With over 100 professionals, K1 changes industry landscapes by assisting with operationally-focused growth strategies designed to assist portfolio companies scale efficiently. Since inception of the firm, K1 has partnered with over 140 enterprise software companies including industry leaders such as Apttus, Buildium, Checkmarx, ChiroTouch, Clarizen, ControlUp, Emburse, FMG Suite, Granicus, Graduway, IronScales, Litera Microsystems, Onit, Rave Mobile Safety, RFPIO, Smarsh, WorkForce Software and Zapproved. For more information about K1, please visit k1capital.com or follow us at linkedin.com/company/k1im.

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Reveal And Brainspace Merge to Become Leading Artificial Intelligence Powered eDiscovery Platform - Business Wire

ArchIntel Releases ‘Competitive Artificial Intelligence: The Crossover Point’ White Paper – GovConWire

ArchIntel

ArchIntel, a leading provider of concise actionable open source market and competitive intelligence (CI) reports to business leaders across the federal sector, has released Competitive Artificial Intelligence: The Crossover Point, the platforms latest white paper discussing the influence that artificial intelligence (AI) is having on the future of the CI landscape.

The full white paper is available for a free download on ArchIntel.com.

The Crossover Point showcases the insights and highlights from a handful of senior executives in the field of competitive intelligence who acted as expert panelists during ArchIntel Events recent Artificial Intelligence in Competitive Intelligence Forum.

ArchIntels first event explored the competitive landscape as emerging technology continues to evolve and influence the federal sector while the panelists explained how businesses can maintain a competitive advantage through the integration of emerging technologies into their organizations.

August Jackson, senior director of Market and Competitive Intelligence with Deltek, served as a speaker and moderator for an expert panel featuring Dr. Fred Hoffman of Mercyhurst University, Arik Johnson of Aurora Worldwide Development and Suki Fuller of Competitive Intelligence Fellows.

We need to find our collective professional voice for us to speak to the developer community to ensure that AI is an enabling tool for competitive intelligence. said Jackson during ArchIntels recent forum. This event is one of the first steps we need to find that voice.

Download your free copy of ArchIntels latest white paper, The Crossover Point to learn the biggest takeaways and best practices of how CI professionals are maintaining a competitive advantage in their field while working to integrate AI and other emerging technologies to push CI into the future.

In case you missed ArchIntels Artificial Intelligence in Competitive Intelligence Forum, you can rewatch the full event by registering on ArchIntel Events.

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ArchIntel Releases 'Competitive Artificial Intelligence: The Crossover Point' White Paper - GovConWire